Integration with other systems, whether on-premises or in the cloud, has become a key wishlist item for many EHS software buyers. It allows you to take advantage of other tools used by your organization (or available from third parties) to simplify processes, access information, and enhance communication, both internally and externally.
Let’s look back on the most exciting new features and changes made in EIM, Locus’ environmental data management software, during 2019!
In August, Locus migrated EIM into the Amazon Web Services (AWS) cloud. EIM already had superior security, reliability, and performance in the Locus Cloud. The move to AWS improves on those metrics and allows Locus to leverage AWS specific tools that handle big data, blockchain, machine learning, and data analytics. Furthermore, AWS is scalable, which means EIM can better handle demand during peak usage periods. The move to AWS helps ensure that EIM remains the world’s leading water quality management software.
EIM now supports Single Sign-On (SSO), allowing users to access EIM using their corporate authentication provider. SSO is a popular security mechanism for many corporations. With SSO, one single login allows access to multiple applications, which simplifies username and password management and reduces the number of potential targets for malicious hacking of user credentials. Using SSO with EIM requires a one-time configuration to allow EIM to communicate with a customer’s SSO provider.
The Locus GIS+ solution now supports creating data callouts, which are location-specific crosstab reports listing analytical, groundwater, or field readings. A user first creates a data callout template using a drag-and-drop interface in the EIM enhanced formatted reports module. The template can include rules to control data formatting (for example, action limit exceedances can be shown in red text). When the user runs the template for a specific set of locations, EIM displays the callouts in the GIS+ as a set of draggable boxes. The user can finalize the callouts in the GIS+ print view and then send the resulting map to a printer or export the map to a PDF file.
For customers who don’t require the full EIM package, Locus now offers EIM One, which gives the ability to customize EIM functionality. Every EIM One purchase comes with EIM core features: locations and samples; analytical and field results; EDD loading; basic data views; and action limit exceedance reports. The customer can then purchase add-on packages to get just the functionality desired–for example a customer with DMR requirements may purchase the Subsurface and Regulatory Reporting packages. EIM One provides customers with a range of pricing options to get the perfect fit for their data management needs.
EIM can now be configured to accept data from IoT (internet of things) streaming devices. Locus must do a one-time connection between EIM and the customer’s IoT streaming application; the customer can then use EIM to define the devices and data fields to capture. EIM can accept data from multiple devices every second. Once the data values are in EIM, they can be exported using the Expert Query tool. From there, values can be shown on the GIS+ map if desired. The GIS+ Time Slider automation feature has also been updated to handle IoT data by allowing the time slider to use hours, minutes, and seconds as the time intervals.
EIM currently supports several dozen regulatory agency export formats. In 2019, Locus added two more exports for CIWQS (California Integrated Water Quality System Project) and the NCDEQ (North Carolina Department of Environmental Quality). Locus continues to add more formats so customers can meet their reporting requirements.
EIM is the world’s leading water quality management software, and has been used since 1999 by many Fortune 500 companies, water utilities, and the US Government. Locus added two key reports to EIM for Water in 2019 to further support water quality reporting. The first new report returns chlorine averages, ranges, and counts. The second new report supports the US EPA’s Lead and Copper rule and includes a charting option. Locus will continue to enhance EIM for Water by releasing the 2019 updates for the Consumer Confidence Report in January 2020.
Locus continues to upgrade and improve the EIM user interface and user experience. The most noticeable change in 2019 was the overhaul of the Non-analytical Views pages in EIM, which support data exports for locations, samples, field readings, groundwater levels, and subsurface information. Roughly 25 separate pages were combined into one page that supports all these data views. Users are directed through a series of filter selections that culminate in a grid of results. The new page improves usability and provides one centralized place for these data reports. Locus plans to upgrade the Analytical Views in the same way in 2020.
To help customers find the correct EIM menu function, Locus added a search box at the top right of EIM. The search box returns any menu items that match the user’s entered search term. In 2020, Locus will expand this search box to return matching help file documents and EDD error help, as well as searches for synonyms of menu items.
The EIM EDD loader now has a new “View history” option for viewing previously loaded data for the locations and parameters in the EDD. This function lets users put data in the EDD holding table into proper historical context. Users can check for any unexpected increases in parameter concentrations as well as new maximum values for a given location and parameter.
Today is GIS Day, a day started in 1999 to showcase the many uses of geographical information systems (GIS). To celebrate the passage of another year, this blog post examines how maps and GIS show time, and how Locus GIS+ supports temporal analysis for use with EIM, Locus’s cloud-based, software-as-a-service application for environmental data management.
Since GIS was first imagined in 1962 by Roger Tomlinson at the Canada Land Inventory, GIS has been used to display and analyze spatial relationships. Every discrete object (such as a car), feature (such as an acre of land), or phenomenon (such as a temperature reading) has a three-dimensional location that can be mapped in a GIS as a point, line, or polygon. The location consists of a latitude, longitude, and elevation. Continuous phenomenon or processes can also be located on a map. For example, the flow of trade between two nations can be shown by an arrow connecting the two countries with the arrow width indicating the value of the traded goods.
However, everything also has a fourth dimension, time, as locations and attributes can change over time. Consider the examples listed above. A car’s location changes as it is driven, and its condition and value change as the car gets older. An acre of land might start covered in forest, but the land use changes over time if the land is cleared for farming, and then later if the land is paved over for a shopping area. The observed temperature at a given position changes with time due to weather and climate changes spanning multiple time scales from daily to epochal. Finally, the flow of trade between two countries changes as exports, imports, and prices alter over time.
Traditional flat maps already collapse three dimensions into two, so it’s not surprising that such maps do not handle the extra time dimension very well. Cartographers have always been interested in showing temporal data on maps, though, and different methods can be employed to do so. Charles Minard’s famous 1861 visualization of Napoleon’s Russian campaign in 1812-1813 is an early example of “spatial temporal” visualization. It combines two visuals – a map of troop movements with a time series graph of temperature – to show the brutal losses suffered by the French army. The map shows the army movement into Russia and back, with the line width indicating the troop count. Each point on the chart is tied to a specific point on the map. The viewer can see how troop losses increased as the temperature went from zero degrees Celsius to -30 degrees. The original thick tan line has decreased to a black sliver at the end of the campaign.
Charles Minard’s map of Napoleon’s Russian campaign in 1812-1813.
The Minard visual handles time well because the temperature chart matches single points on the map; each temperature value was taken at a specific location. Showing time changes in line or area features, such as roads or counties, is harder and is usually handled through symbology. In 1944, the US Army Corps of Engineers created a map showing historical meanders in the Mississippi River. The meanders are not discrete points but cover wide areas. Thus, past river channels are shown in different colors and hatch patterns. While the overlapping meanders are visually complex, the user can easily see the different river channels. Furthermore, the meanders are ‘stacked’ chronologically, so the older meanders seem to recede into the map’s background, similar to how they occur further back in time.
Inset from Geological Investigation of the Alluvial Valley of the Lower Mississippi River.
Another way to handle time is to simply make several maps of the same features, but showing data from different times. In other words, a temporal data set is “sliced” into data sets for a specific time period. The viewer can scan the multiple maps and make visual comparisons. For example, the Southern Research Station of the US Forest Service published a “report card” in 2011 for Forest Sustainability in western North Carolina. To show different land users over time, small maps were generated by county for three years. Undeveloped land is colored green and developed land is tan. Putting these small maps side by side shows the viewer a powerful story of increasing development as the tan expands dramatically. The only drawback is that the viewer must mentally manipulate the maps to track a specific location.
Land Use change over time for Buncombe County, NC
The previous map examples prove that techniques exist to successfully show time on maps. However, such techniques are not widespread. Furthermore, in the era of “big data” and the “Internet of Things”, showing time is even more important. Consider two examples. First, imagine a shipment of 100 hazardous waste containers being delivered on a truck from a manufacturing facility to a disposal site. The truck has a GPS unit which transmits its location during the drive. Once at the disposal site, each container’s active RFID tag with a GPS receiver tracks the container’s location as it proceeds through any decontamination, disposal, and decommission activities. The locations of the truck and all containers have both a spatial and a temporal component. How can you map the location of all containers over time?
As a second example, consider mobile data collection instruments deployed near a facility to check for possible contamination in the air. Each instrument has a GPS so it can record its location when the instrument is periodically relocated. Each instrument also has various sensors that check every minute for chemical levels in the air plus wind speed and temperature. All these data points are sent back to a central data repository. How would you map chemical levels over time when both the chemical levels and the instrument locations are changing?
In both cases, traditional flat maps would not be very useful given the large amounts of data that are involved. With the advent of GIS, though, all the power of modern computers can be leveraged. GIS has a powerful tool for showing time: animation. Animation is similar to the small “time slice” maps mentioned above, but more powerful because the slices can be shown consecutively like a movie, and many more time slices can be created. Furthermore, the viewer no longer has to mentally stack maps, and it is easier to see changes over time at specific locations.
Locus has adopted animation in its GIS+ solution, which lets a user use a “time slider” to animate chemical concentrations over time. When a user displays EIM data on the GIS+ map, the user can decide to create “time slices” based on a selected date field. The slices can be by century, decade, year, month, week or day, and show the maximum concentration over that time period. Once the slices are created, the user can step through them manually or run them in movie mode.
To use the time slider, the user must first construct a query using the Locus EIM application. The user can then export the query results to the GIS+ using the time slider option. As an example, consider an EIM query for all benzene concentrations sampled in a facility’s monitoring wells since 2004. Once the results are sent to the GIS+, the time slider control might look like what is shown here. The time slices are by year with the displayed slice for 3/30/2004 to 3/30/2005. The user can hit play to display the time slices one year at a time, or can manually move the slider markers to display any desired time period.
Locus GIS+ time slider
Here is an example of a time slice displayed in the GIS+. The benzene results are mapped at each location with a circle symbol. The benzene concentrations are grouped into six numerical ranges that map to different circle sizes and colors; for example, the highest range is from 6,400 to 8,620 µg/L. The size and color of each circle reflect the concentration value, with higher values corresponding to larger circles and yellow, orange or red colors. Lower values are shown with smaller circles and green, blue, or purple colors. Black squares indicate locations where benzene results were below the chemical detection limit for the laboratory. Each mapped concentration is assigned to the appropriate numerical range, which in turn determines the circle size and color. This first time slice for 2004-2005 shows one very large red “hot spot” indicating the highest concentration class, two yellow spots, and several blue spots, plus a few non-detects.
Time slice for a year for a Locus GIS+ query
Starting the time slider runs through the yearly time slices. As time passes in this example, hot spots come and go, with a general downward trend towards no benzene detections. In the last year, 2018-2019, there is a slight increase in concentrations. Watching the changing concentrations over time presents a clear picture of how benzene is manifesting in the groundwater wells at the site.
GIS+ time slider in action
While displaying time in maps has always been a challenge, the use of automation in GIS lets users get a better understanding of temporal trends in their spatial data. Locus continues to bring new analysis tools to their GIS+ system to support time data in their environmental applications.
Time slice for a Locus GIS+ query
Locus GIS+ features all of the functionality you love in EIM’s classic Google Maps GIS for environmental management—integrated with the powerful cartography, interoperability, & smart-mapping features of Esri’s ArcGIS platform!
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[sc_image width=”150″ height=”150″ src=”16303″ style=”11″ position=”centered” disable_lightbox=”1″ alt=”Dr. Todd Pierce”]
About the Author—Dr. Todd Pierce, Locus Technologies
Dr. Pierce manages a team of programmers tasked with development and implementation of Locus’ EIM application, which lets users manage their environmental data in the cloud using Software-as-a-Service technology. Dr. Pierce is also directly responsible for research and development of Locus’ GIS (geographic information systems) and visualization tools for mapping analytical and subsurface data. Dr. Pierce earned his GIS Professional (GISP) certification in 2010.
In our last GIS blog, we covered some tips for choosing an integrated GIS/environmental data management system. Now let’s look at some more advanced features that may be appealing to a wide range of data managers and facility owners.
A map is much more meaningful with your facility information. Google maps are great, but they won’t show your current building layout and your pipe and sewer diagrams. So look for the capability to display maps created by other internal departments, like facilities or operations, so you can gain more insights from your data and have information readily available to share with other parts of the company who may disturb the area with digging or construction activity.
In this example from the Intellus website, environmental data can be visualized in relation to historical buildings and watersheds, both elements created by internal mapping departments. Internal base maps can also replace default maps from Esri or Google.
With the right GIS solution, it’s easy to bring in data from any public source, including government agencies, such as EPA. Combining your map with the world of online data can bring fresh insights to your environmental compliance challenges.
In this example, GIS is used to merge Audubon bird points with Los Alamos National Laboratory (using the Intellus website).
Using a freeform polygon search (another must-have in a GIS tool), users can highlight an area and—with a single click—see all the data, field photos, and reports associated with that area. This is especially useful for active facilities where activities are planned in areas with legacy contamination (“know before you dig!”). This type of functionality makes it simple for less savvy map users to easily get the information they need.
In this example, a polygon tool was used to highlight an area, and all data, documents, reports associated with ALL locations within the selected area are available from the map. These functions let facility staff review key environmental information before conducting activities at a facility location.
Some facilities or sites have very dense sampling locations that can be a challenge to view on maps due to overlapping data points. Using the concept of clustering, one can more easily view the dense data, with results color-coded to help focus the review. Clicking on the cluster reveals the details underneath for more close review.
In this example, tritium in monitoring wells at the Los Alamos site in New Mexico is being reviewed on the map. Without clustering, the map is impossible to read or use effectively. With clustering, the orange circles (“clusters”) indicate higher concentrations of the contaminant, and clicking on the cluster reveals the individual data points it contains.
Before clustering is applied, we have a very difficult-to-read map.
After clustering is applied, the map is much more useful—colors focus the user on the higher concentration areas.
Imagine being able to watch changes in data over time with a simple slider control. An integrated GIS can provide that clarity over all the data in your database, so you can watch the progress of a cleanup, track chemicals in your water distribution system, or watch a groundwater plume move over time.
For sites with concerned neighbors, it’s key to know what chemicals or other environmental conditions may be affecting them. With GIS tools, it’s easy to put in an address and see what is within a radius, or to look within a distance from a specific location. In this example, you can see that there are no sampling locations within a 2000-ft radius from the center point. You can also type in an address and see what is nearby.
Looking at a 2000-ft radius from a location to see what is nearby.
The more information you can provide to users in a format that highlights results in a meaningful way, the more you can help streamline review and analysis for any data review effort. GIS tools that support data callouts (with logic to highlight actionable results) can quickly convert a mass of data into a clear picture of the issues at a facility or site.
In the map below, data summaries are presented on a facility map to show areas with results above an action limit and associated with other detected parameters. Reviewers can easily see the exceedances (in red) and pinpoint where the issues lie. Although these maps may look complicated to produce, they can be integrated with standard reporting tools that generate maps at the click of a button.
When you’re evaluating an integrated GIS solution, make sure to dig deeper than the obvious necessary features to learn about all the advanced functionality that is available or on the product roadmap. The best solutions will already have some truly powerful capabilities available, with an even longer list of upcoming features.
Your environmental information management will evolve to the next level when you have the flexibility of visualizing your data in so many ways. Happy mapping!
See your data in new ways with Locus GIS for environmental management.Error: Contact form not found.
You can turbocharge your water data management by including a geographical information system (GIS) in your toolkit! Your data analysis efficiency also gets a huge boost if your data management system includes a GIS system “out of the box” because you won’t have to manually transfer data to your GIS. All your data is seamlessly available in both systems.
Not all GIS packages are created equal, though. Here are some tips to consider when looking at mapping applications for your environmental data:
Mapping is easy when properly integrated with your environmental database. You should not need extra filters or add-on programs to visualize your data. Look for built-in availability of features, such as “click to map”, that take the guesswork and frustration out of mapping for meaningful results.
Good integration means mapping is as easy as clicking a “show on map” button. In Locus EIM, you can run a data query and click “Show results on map” icon, change the default settings if desired, and instantly launch a detailed map with a range of query layers to review all chemicals at the locations of interest.
All the query results are presented as query layers, so you can review the results in detail. This map was created with the easy “show results on map” functionality, which anyone can use with no training.
Look for easy editing tools to change the label colors, sizes, fonts, positioning, and symbols. Some map backgrounds make the default label styles hard to read and diminish the utility of the map, or if you’re displaying a large quantity of data, you’ll almost certainly need to tweak some display options to make these labels more readable.
Default label styles are legible on this background, but they are a bit hard to read.
A few simple updates to the font color, font sizes, label offset, and background color make for much easier reading. Changes are made via easy-to-use menus and are instantly updated on the map, so you have total control to make a perfectly labeled map.
Contours can be a great way to visually interpret the movement of contaminants in groundwater and is a powerful visualization tool. In the example below, you can clearly see the direction the plume is heading and the source of the problem. An integrated GIS with a contouring engine lets you go straight from a data query to a contour map—without export to external contouring or mapping packages. This is great for quick assessments for your project team.
Contour maps make it easy to visualize the source and extent of the plumes. They can be easily created with environmental database management systems that include basic contouring functionality.
Many companies use sophisticated and expensive mapping software for their needs. But the people running those systems are highly trained and often don’t have easy access to your environmental data. For routine data review and analysis, simple is better. Save the expensive, stand-alone GIS for wall-sized maps and complex regulatory reports.
Here is a simple map (which is saved, so anyone can run it) showing today’s chlorine data in a water distribution system. You don’t have to wait for the GIS department to create a map when you use a GIS that’s integrated with your environmental database system. When data are updated daily from field readings, these maps can be incredibly helpful for operational personnel.
See your data in new ways with Locus GIS for environmental management.Error: Contact form not found.
After viewing some of the many visualization possibilities in this blog, the next step is make some maps happen!
Happy mapping!
At the annual WM Symposia, representatives from many different DOE sites and contractors gather once a year and discuss cross-cutting technologies and approaches for managing the legacy waste from the DOE complex. This year, Locus’ customer Los Alamos National Laboratory (LANL) was the featured laboratory. During their presentation, they discussed Locus GIS+, which powers Intellus, their public-facing environmental monitoring database website.
If you haven’t been to LANL’s Intellus website recently, you are in for a surprise! It was recently updated to better support casual users, and it features some of the best new tools Locus has to offer. Locus reimagined the basic query engine and created a new “Quick search” to streamline data retrieval for casual users. The guided “Quick search” simplifies data queries by stepping you through the filter selections for data sources, locations, dates, and parameters, providing context support at each step along the way.
While a knowledgeable environmental scientist may be able to easily navigate a highly technical system, that same operation is bound to be far more difficult for a layperson interested in what chemicals are in their water. Constructing the right query is not as simple as looking for a chemical in water—it really matters what type of water you want to look within. On the Intellus website (showing the environmental data from the LANL site), there are 16 different types of water (not including “water levels”). Using the latest web technologies and our domain expertise, Locus created a much easier way to get to the data of interest.
Just querying data is not necessarily the most intuitive activity to gain insights. Locus integrated our new GIS+ visualization engine to allow users to instantly see all the data they just queried in detailed, context-rich maps.
Intellus GIS+ map showing “Quick search” query results for chromium levels in the LANL area
Instead of a dense data grid, GIS+ gives users an instant visual representation of the issue, enabling them to quickly spot the source of the chemicals and review the data in the context of the environmental locations and site activities. Most importantly for Intellus users, this type of detailed map requires no GIS expertise and is automatically created based on your query. This directly supports Intellus’ mission to provide transparency into LANL’s environmental monitoring and sampling activities.
GIS+ also allows users (albeit with a bit more experience in GIS mapping) to integrate maps from a wide range of online sources to provide even more insight to the available data. In the example below, we overlaid the publicly-available US Fish and Wildlife critical habitat maps with data from the LANL site to show the relationship of the site to critical habitats. This type of sophisticated analysis is the future of online GIS. Locus takes full advantage of these opportunities to visualize and integrate data from varying sources with our GIS+ tools, made simple for users and integrated with ArcGIS Online by Esri.
Intellus GIS+ map showing imported layers of US Fish and Wildlife critical habitats in relation to LANL environmental sampling data
Overall, Locus is very proud of our cross-cutting environmental information management tools. We were one of many WM18 attendees enjoying LANL’s presentation and getting even more ideas from the audience on the next steps for better environmental visualization.
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IoT is considered one of the fastest growing trends in technology and has a potentially huge impact to automate how we manage water quality, air emissions and other key environmental performance indicators for data monitoring.
GIS Day was established in 1999 to showcase the power and flexibility of geographical information systems (GIS). In celebration of the 55th birthday of GIS, we’ve compiled a brief history of the evolution of this powerful technology, with a special focus on how it can be used in EHS applications to make environmental management easier.
Not only is GIS more powerful than ever before—it is also vastly more accessible. Anyone with Internet access can create custom maps based on publicly available data, from real-time traffic conditions to environmental risk factors, to local shark sightings. Software developers, even those at small companies or startups, now have access to APIs for integrating advanced GIS tools and functionality into their programs.
Before you can understand where GIS is today, it helps to know how it started out. This year is the 55th anniversary of the work done by Roger Tomlinson in 1962 with the Canada Land Inventory. We consider this the birth of GIS, and Mr. Tomlinson has been called the “father of GIS”.
The original GIS used computers and digitalization to “unlock” the data in paper maps, making it possible to combine data from multiple maps and perform spatial analyses. For example, in the image shown here from the Canada Land Inventory GIS, farms in Ontario are classified by revenue to map farm performance.
An early GIS system from the Canada Land Inventory, in Data for Decisions, 1967
Photo: Mbfleming. “Data for Decisions (1967).” YouTube, 12 Aug. 2007, https://youtu.be/ryWcq7Dv4jE.
Part 1, Part 2, Part 3
In 1969, Jack Dangermond founded Esri, which became the maker of, arguably, the world’s most popular commercial GIS software. Esri’s first commercial GIS, ARC/INFO, was released in 1982, and the simpler ArcView program followed in 1991. Many of today’s most skilled GIS software developers can trace their roots back to this original GIS software.
Back then, GIS work required expensive software packages installed on personal computers or large mainframe systems. There was no Google Maps; all map data had to be manually loaded into your software. Getting useful data into a GIS usually required extensive file manipulation and expertise in coordinate systems, projections, and geodesy.
While the government, utility, and resource management sectors used GIS heavily, there was not much consumer or personal use of GIS. Early GIS professionals spent much of their time digitizing paper maps by hand or trying to figure out why the map data loaded into a GIS was not lining up properly with an aerial photo. This may sound familiar to those who have been in the environmental industry for awhile.
Esri’s ArcView 3.2 for desktop computers (from the 1990s)
https://map.sdsu.edu/geog583/lecture/Unit-3.htm
How much has changed since those early days! After the release of OpenStreetMap in 2004, Google Maps and Google Earth in 2005, and Google Street View in 2007, GIS has been on an unstoppable journey—from only being used by dedicated GIS professionals on large computers in specific workplaces, to be accessible to anyone with an internet browser or a smartphone. High-quality map data and images—often the most expensive item in a GIS project in the 1990’s — are now practically free.
Just think how revolutionary it is that anyone can have instant access to detailed satellite images and road maps of almost anywhere on Earth! Not only can you perform such mundane tasks as finding the fastest route between two cities or locating your favorite coffee shop while on vacation—you can also see live traffic conditions for cities across the globe; view aerial images of countries you have never visited; track waste drums around your facility; and get street level views of exotic places. Back in 1991, such widespread access to free map data would have seemed like something straight out of science fiction.
Traffic conditions in London, 3:30 pm 10/16/2017, from Google Maps
South Base Camp, Mount Everest, Google StreetView
Obviously, the amount of spatial data needed to provide detailed coverage of the entire globe is far too large to be stored on one laptop or phone. Instead, the data is distributed across many servers “in the cloud.” Back in the 1990s, everything for one GIS system (data, processing engine, user interface) needed to be in the same physical place—usually one hard drive or server. Now, thanks to the internet and cloud computing, the data can be separate from the software, creating “distributed” GIS.
The combination of freely available data with distributed GIS and the power of smart phones has led us to the age of “neogeography”—in which anyone (with some technical knowledge) can contribute to online maps, or host their maps with data relevant to their personal or professional needs. GIS no longer requires expensive software or cartographical expertise; now, even casual users can create maps linking multiple data sources, all in the cloud.
Google’s MyMaps is an example of a tool for easily making your maps. Maps can range from the playful, such as locations of “Pokemon nests,” to the serious, such as wildfire conditions.
Google MyMaps of Pokemon Nest Locations
https://www.google.com/maps/d/viewer?mid=1anyDs-H7hOtGQaxaTwuLjulUrVM&hl=en&usp=sharing
These online maps can be updated in real time (unlike paper maps) and therefore kept current with actual conditions. Such immediate response is instrumental in emergency management, where conditions can change rapidly, and both first responders and the public need access to the latest data.
Map showing wildfire and traffic conditions in northern California, 10/16/2017
https://google.org/crisismap/us-wildfires
Furthermore, software programmers have created online GIS tools that let non-coders create their maps. These tools push the boundaries of distributed GIS even further by putting the processing engine in the cloud with the data. Only the user interface runs locally for a given user. During this period of GIS history, it became easy to create “mashups” for viewing different types of disparate data at once, such as natural hazard risks near offices, pizza stores near one’s neighborhood, EPA Superfund sites near one’s home, property lines, flood plains, landslide vulnerability, and wildfire risk.
Floodplain data for Buncombe County, NC
https://buncombe-risk-tool.nemac.org
Another significant advance in GIS technology is the ability to integrate or include advanced GIS tools and features in other computer programs. Companies such as Google and Esri have provided toolkits (called APIs, or application programming interfaces) that let coders access GIS data and functions inside their programs. While neogeography shows the power of personal maps created by the untrained public, computer programmers can use APIs to create some very sophisticated online GIS tools aimed at specific professionals or the public.
One example is the publicly-available Intellus application that Locus Technologies developed and hosts for the US Department of Energy’s Los Alamos National Laboratory. It uses an Esri API and distributed GIS to provide access to aerial images and many decades of environmental monitoring data for the Los Alamos, NM area. Users can make maps showing chemical concentrations near their home or workplace, and they can perform powerful spatial searches (e.g., “find all samples taken within one mile of my house in the last year”). The results can be color-coded based on concentration values to identify “hot spots”.
Map from Intellus showing Tritium concentrations near a specified location
https://www.intellusnmdata.com
Another example of more sophisticated forms of analysis is integration of GIS with environmental databases. Many government facilities and private vendors incorporate GIS with online data systems to let public users evaluate all types of information they find relevant.
For example, contour lines can be generated on a map showing constant values of groundwater elevation, which is useful for determining water flow below ground. With such powerful spatial tools in the cloud, any facility manager or scientist can easily create and share maps that provide insight into data trends and patterns at their site.
Groundwater contour map where each line is a 10 ft. interval, from the Locus EIM system
Other examples include monitoring air emissions at monitoring sites (like US EPA’s AirData Air Quality Monitors, shown below) and actual stream conditions from the USGS (also shown below).
Screenshot from US EPA AirData Air Quality Monitors interactive GIS mapping platform, showing Long Beach, California
Screen capture of USGS National Water Information System interactive GIS map tool, showing a site in Mountain View, California
One particularly exciting aspect of GIS today is the ability to use GIS on a smartphone or tablet. The GIS APIs mentioned above usually have versions for mobile devices, as well as for browsers. Programmers have taken advantage of these mobile APIs, along with freely available map data from the cloud, to create apps that seamlessly embed maps into the user experience. By using a smartphone’s ability to pinpoint your current latitude and longitude, these apps can create personalized maps based on your actual location.
A search in the Apple AppStore for “map” returns thousands of apps with map components. Some of these apps put maps front-and-center for traditional navigation, whether by car (Waze, MapQuest, Google), public transit (New York Subway MTA Map, London Tube Map), or on foot (Runkeeper, Map My Run, AllTrails). Other apps use maps in a supporting role to allow users to find nearby places; for example, banking apps usually have a map to show branches near your current location.
What’s really exciting are the apps that allow users to enter data themselves via a map interface. For example, HealthMap’s Outbreaks Near Me not only shows reports of disease outbreaks near your location, but it also lets you enter unreported incidents. The GasBuddy app shows the latest gasoline prices and lets you enter in current prices. This “crowdsourcing” feature keeps an app up-to-date by letting its users update the map with the latest conditions as they are happening.
The Outbreaks Near Me app for phones (left) and the GasBuddy app for tablets (right)
EHS professionals can further harness the power of GIS using mobile applications. For example, in the Locus Mobile app for field data collection, users can enter environmental data—such as temperature or pH measurements—from a sampling location, then upload the data back to cloud-based environmental management software for immediate review and analysis. Mobile apps can also support facility compliance audits, track current locations of hazardous waste drums, collect on-scene incident data (complete with photos), and record exact locations for mapping by colleagues back in the office.
GIS-enabled mobile apps also typically include a map interface for navigating to data collection points and tracking visited locations. Other key features to look for include ad hoc location creation for capturing unplanned data—this lets users create new data collection points “on the fly” simply by clicking on the map.
Views of many different mobile app use cases from tracking drums to collecting field data
Where will GIS as a whole go from here? It’s possible that augmented reality, virtual reality, and 3D visualization will continue to expand and become as ubiquitous as the current “2D” maps on browsers and phones. Also, the “internet of things” will surely have a GIS component because every physical “thing” can be tied to a geographical location. Similarly, GIS can play an important role in “big data” by providing the spatial framework for analysis.
GIS is one of the most effective ways to convey information to a wide range of users, from corporate managers looking at the company’s key metrics to operational personnel looking for incidents across facilities and trying to find trends. It is a highly intuitive data query interface that empowers users to explore the data hidden deep in enterprise EHS databases. The examples presented above are just the tip of the iceberg for the range of possibilities to simplify communication of information and look more broadly across enterprises to identify where real or potential issues lie.
An EHS software system should have many ways to extract data and information to form insights beyond a few “canned” reports and charts. A spatially-accurate picture can often provide more actionable insight than tables and text. Imagine being able to see spill locations, incident locations, environmental monitoring stations for air quality, wastewater outfalls, central and satellite waste accumulation area locations, and PCB and asbestos equipment and/or storage locations—all visually represented on an actual map of your facility and its surroundings. All these types of maps are invaluable in an enterprise EHS software system and should be a critical item on your checklist when selecting software for your EHS needs.
Thanks to the GIS Timeline for providing some of the history for this article.
About guest blogger— Dr. Todd Pierce, Locus Technologies
Dr. Pierce manages a team of programmers tasked with development and implementation of Locus’ EIM application, which lets users manage their environmental data in the cloud using Software-as-a-Service technology. Dr. Pierce is also directly responsible for research and development of Locus’ GIS (geographic information systems) and visualization tools for mapping analytical and subsurface data. Dr. Pierce earned his GIS Professional (GISP) certification in 2010.
Introducing Locus GIS+. All the functionality you love in EIM’s classic Google Maps GIS for environmental management— now integrated with the powerful cartography, interoperability, & smart-mapping features of Esri’s ArcGIS platform!
Today, November 15, is GIS Day—an annual celebration established in 1999 to showcase the power and flexibility of geographical information systems (GIS).
Not only is GIS more powerful than ever before—it is also vastly more accessible. Anyone with Internet access can create custom maps based on publicly available data, from real-time traffic conditions to environmental risk factors, to local shark sightings. Software developers, even those at small companies or startups, now have access to APIs for integrating advanced GIS tools and functionality into their programs.
As the Director of EIM and GIS Development at Locus, I lead efforts to integrate GIS with our software applications to deliver our customers’ spatial data using the latest GIS technology. Let us take a look at how far GIS has come since I started working with it and at some of the new and exciting possibilities on the horizon.
Before you can understand where GIS is today, it helps to know how it started out. This year is the 55th anniversary of the work done by Roger Tomlinson in 1962 with the Canada Land Inventory. We consider this the birth of GIS, and Mr. Tomlinson has been called the “father of GIS”.
The original GIS used computers and digitalization to “unlock” the data in paper maps, making it possible to combine data from multiple maps and perform spatial analyses. For example, in the image shown here from the Canada Land Inventory GIS, farms in Ontario are classified by revenue to map farm performance.
An early GIS system from the Canada Land Inventory, in Data for Decisions, 1967
Photo: Mbfleming. “Data for Decisions (1967).” YouTube, 12 Aug. 2007, https://youtu.be/ryWcq7Dv4jE.
Part 1, Part 2, Part 3
In 1969, Jack Dangermond founded Esri, which became the maker of, arguably, the world’s most popular commercial GIS software. Esri’s first commercial GIS, ARC/INFO, was released in 1982, and the simpler ArcView program followed in 1991. That year, 1991, is also the year I started working with GIS, although I used the TransCAD system from Caliper before starting with Esri software a few years later.
Back then, GIS work required expensive software packages installed on personal computers or large mainframe systems. There was no Google Maps; all map data had to be manually loaded into your software. Getting useful data into a GIS usually required extensive file manipulation and expertise in coordinate systems, projections, and geodesy.
While the government, utility, and resource management sectors used GIS heavily, there was not much consumer or personal use of GIS. As for me, I spent a lot of time in my first job digitizing paper maps by hand or trying to figure out why the map data I had loaded into a GIS was not lining up properly with an aerial photo.
Esri’s ArcView 3.2 for desktop computers (from the 1990s)
https://map.sdsu.edu/geog583/lecture/Unit-3.htm
How much has changed since those early days! After the release of OpenStreetMap in 2004, Google Maps and Google Earth in 2005, and Google Street View in 2007, GIS has been on an unstoppable journey—from only being used by dedicated GIS professionals on large computers in specific workplaces, to be accessible to anyone with an internet browser or a smartphone. High-quality map data and images—often the most expensive item in a GIS project in the 1990’s — are now practically free.
Just think how revolutionary it is that anyone can have instant access to detailed satellite images and road maps of almost anywhere on Earth! Not only can you perform such mundane tasks as finding the fastest route between two cities or locating your favorite coffee shop while on vacation—you can also see live traffic conditions for cities across the globe; view aerial images of countries you have never visited, and get street level views of exotic places. Back in 1991, such widespread access to free map data would have seemed like something straight out of science fiction.
Traffic conditions in London, 3:30 pm 10/16/2017, from Google Maps
South Base Camp, Mount Everest, Google StreetView
Obviously, the amount of spatial data needed to provide detailed coverage of the entire globe is far too large to be stored on one laptop or phone. Instead, the data is distributed across many servers “in the cloud.” Back in the 1990s, everything for one GIS system (data, processing engine, user interface) needed to be in the same physical place—usually one hard drive or server. Now, thanks to the internet and cloud computing, the data can be separate from the software, creating “distributed” GIS.
The combination of freely available data with distributed GIS and the power of smart phones has led us to the age of “neogeography”—in which anyone (with some technical knowledge) can contribute to online maps, or host their maps with data relevant to their personal or professional needs. GIS no longer requires expensive software or cartographical expertise; now, even casual users can create maps linking multiple data sources, all in the cloud.
Google’s MyMaps is an example of a tool for easily making your maps. Maps can range from the playful, such as locations of “Pokemon nests,” to the serious, such as wildfire conditions.
Google MyMaps of Pokemon Nest Locations
https://www.google.com/maps/d/viewer?mid=1anyDs-H7hOtGQaxaTwuLjulUrVM&hl=en&usp=sharing
These online maps can be updated in real time (unlike paper maps) and therefore kept current with actual conditions. Such immediate response is instrumental in emergency management, where conditions can change rapidly, and both first responders and the public need access to the latest data.
Map showing wildfire and traffic conditions in northern California, 10/16/2017
https://google.org/crisismap/us-wildfires
Furthermore, software programmers have created online GIS tools that let non-coders create their maps. These tools push the boundaries of distributed GIS even further by putting the processing engine in the cloud with the data. Only the user interface runs locally for a given user. During this period of GIS history, I created several mashups, including one for viewing natural hazard risks for my hometown. For this application, I combined several data types, including property lines, flood plains, landslide vulnerability, and wildfire risk.
Floodplain data for Buncombe County, NC
https://buncombe-risk-tool.nemac.org
Another significant advance in GIS technology is the ability to integrate or include advanced GIS tools and features in other computer programs. Companies such as Google and Esri have provided toolkits (called APIs, or application programming interfaces) that let coders access GIS data and functions inside their programs. While neogeography shows the power of personal maps created by the untrained public, computer programmers can use APIs to create some very sophisticated online GIS tools aimed at specific professionals or the public.
During my 10 years at Locus, I have helped create several such advanced GIS tools for environmental monitoring and data management. One example is the publicly-available Intellus application that Locus Technologies developed and hosts for the US Department of Energy’s Los Alamos National Laboratory. It uses an Esri API and distributed GIS to provide access to aerial images and many decades of environmental monitoring data for the Los Alamos, NM area. Users can make maps showing chemical concentrations near their home or workplace, and they can perform powerful spatial searches (e.g., “find all samples taken within one mile of my house in the last year”). The results can be color-coded based on concentration values to identify “hot spots”.
Map from Intellus showing Tritium concentrations near a specified location
https://www.intellusnmdata.com
Locus Technologies also provides more sophisticated forms of analysis in its EIM cloud-based environmental management system. For example, contour lines can be generated on a map showing constant values of groundwater elevation, which is useful for determining water flow below ground. With such powerful spatial tools in the cloud, anyone at the organization, from facility managers to scientists, can easily create and share maps that provide insight into data trends and patterns at their site.
Groundwater contour map where each line is a 10 ft. interval, from the Locus EIM system
One particularly exciting aspect of GIS today is the ability to use GIS on a smartphone or tablet. The GIS APIs mentioned above usually have versions for mobile devices, as well as for browsers. Programmers have taken advantage of these mobile APIs, along with freely available map data from the cloud, to create apps that seamlessly embed maps into the user experience. By using a smartphone’s ability to pinpoint your current latitude and longitude, these apps can create personalized maps based on your actual location.
A search in the Apple AppStore for “map” returns thousands of apps with map components. Some of these apps put maps front-and-center for traditional navigation, whether by car (Waze, MapQuest, Google), public transit (New York Subway MTA Map, London Tube Map), or on foot (Runkeeper, Map My Run, AllTrails). Other apps use maps in a supporting role to allow users to find nearby places; for example, banking apps usually have a map to show branches near your current location.
What’s really exciting are the apps that allow users to enter data themselves via a map interface. For example, HealthMap’s Outbreaks Near Me not only shows reports of disease outbreaks near your location, but it also lets you enter unreported incidents. The GasBuddy app shows the latest gasoline prices and lets you enter in current prices. This “crowdsourcing” feature keeps an app up-to-date by letting its users update the map with the latest conditions as they are happening.
The Outbreaks Near Me app for phones (left) and the GasBuddy app for tablets (right)
Here at Locus Technologies, we use the power of GIS in our Locus Mobile app for field data collection. Users can enter environmental data, such as temperature or pH measurements from a monitoring well, and upload the data back to the EIM cloud for later review and analysis. The Locus Mobile app includes a map interface for navigating to data collection points and tracking visited locations. The app also lets users create new data collection points “on the fly” simply by clicking on the map.
The map interface in the Locus Mobile app; blue dotted circles indicate locations that are not yet started.
Where will GIS go from here? It’s possible that augmented reality, virtual reality, and 3D visualization will continue to expand and become as ubiquitous as the current “2D” maps on browsers and phones. Also, the “internet of things” will surely have a GIS component because every physical “thing” can be tied to a geographical location. Similarly, GIS can play an important role in “big data” by providing the spatial framework for analysis. It will be interesting to see where GIS is when we celebrate the 20th GIS Day in 2019!
Thanks to the GIS Timeline for providing some of the history for this article.
About guest blogger— Dr. Todd Pierce, Locus Technologies
Dr. Pierce manages a team of programmers tasked with development and implementation of Locus’ EIM application, which lets users manage their environmental data in the cloud using Software-as-a-Service technology. Dr. Pierce is also directly responsible for research and development of Locus’ GIS (geographic information systems) and visualization tools for mapping analytical and subsurface data. Dr. Pierce earned his GIS Professional (GISP) certification in 2010.
Introducing Locus GIS+. All the functionality you love in EIM’s classic Google Maps GIS for environmental management— now integrated with the powerful cartography, interoperability, & smart-mapping features of Esri’s ArcGIS platform!
In many locations in EIM, you can make a map directly from your query results. Click on the “folded map” icon on a results grid anywhere in EIM to open the GIS application, where you can then view and save your results as a map query layer.
So if you’re looking at TCE in specific locations, you can quickly map them and see what other parameters are present.
When you see a pushpin icon below a grid, that means you can name and save your current configuration in the grid, including column visibility, column order, sorting, and column width.
So if you use certain grids all the time, and prefer to view the data in a specific way, just click the pushpin and save your configuration for future use.
You can share saved maps and formatted reports with your colleagues and team members on the Project Manager Console dashboard. Saved maps and quick reports will show up under the sections “Quick Reports” and “Quick Maps”.
See Tip #4 to learn how to make this dashboard your default homepage.
EIM user options includes some very cool features. You can access your user options from the EIM menu: just click [your username] > Manage Profile.
Here, you can set your preferred homepage, enable filter options for easier login, and— our favorite— the option to adjust the default number of records to display in all EIM grids (20 is just never enough!)
Full invoice tracking down to the parameter delivered level, to help you confirm that the lab gave you what you ordered, and that they’re charging you for exactly what they gave you.
You can find these forms at Input > Analytical > Lab Invoices.
For users wanting to go beyond the standard “out-of-the-box” queries, EIM has an advanced query builder that lets SQL lovers go wild and share their results with other. You can even query data across multiple EIM sites to which you have access.
If you have the Locus EIM Water configuration, you will be able to prepare data tables for the CCR reports that all water providers are required to prepare annually. This is a huge timesaver compared to manually preparing these data summaries that are required by the Safe Drinking Water Act.
With EIM’s integration with mobile, you can create a sampling plan in EIM and send that plan to one or more people to perform field sampling. This saves mountains of time and ensures your field teams have the correct information they need to collect their field data.
The sampling team can sync anytime to have team members back in the office review the interim data.
If you have to submit EPA NPDES DMRs, EIM can create the electronic NetDMR output, saving you time and effort and banishing (hopefully) those old, complex, and overly difficult paper forms.
Locus is always busy creating new guide documents and help materials for our users, but it was hard to know when we added some new content. Now, our Support menu itself will flag you as soon as something new is posted so you can check it out!
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