Tag Archive for: Environmental Data

The Locus Technologies ESG Survey Tool

The Locus Technologies ESG Survey Tool enables users to email surveys and questionnaires directly from Locus to their supply chain. This is achieved without having to create usernames and credentials those receiving surveys.

When surveys are issued, the tool generates a secure link to each email recipient. Email recipients click the link, respond to the survey or questionnaire (without having to create a Locus username/password), and the data will be captured within Locus software for ESG purposes. Recipients of the link only receive access to their survey form, and nothing else in the system, and the links expire within a prescribed timeframe to further strengthen security.

The survey tool securely streamlines data collection from external entities who would traditionally never be given access to the system, including suppliers, vendors, sales channels and consultants. Once collected, the data can be immediately be used for ESG calculations and reporting.

The Locus ESG Survey Tool Infographic

Want to learn more about the Locus ESG Survey Tool? Reach out to our product specialists today!

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    7 Useful Visualization Tools for Environmental Management

    The ability to visualize your field and analytical data across maps, logs, and charts is a crucial part of managing environmental information. Locus makes it easy to visually display and export data for sharing in reports and presentations. We’ve compiled 7 of the most useful visualization tools in our environmental information management software.

    Data Callouts

    View your data in easy-to-read text boxes right on your maps. These 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.

    Locus GIS Data Callouts


    Graduated Symbols

    Locus GIS features high-quality and industry specific graduated symbols so that you can compare relative quantitative data on customizable maps. Choose graduated symbol intervals, sizes, and colors from a large selection of color ramps and create multiple layers for data analysis. It also features a location clustering option, ideal for large sites, a historical challenge for mapping.

    Intellus GIS+ maps


    Charting

    Multiple charts can be created in EIM at one time. Charts can then be formatted using the Format tab. Formatting can include the ability to add milestone lines and shaded date ranges for specific dates on the x axis. The user can also change font, legend location, line colors, marker sizes and types, date formats, legend text, axis labels, grid line intervals or background colors. In addition, users can choose to display lab qualifiers next to non-detects, show non-detects as white filled points, show results next to data points, add footnotes, change the y-axis to log scale, and more. All of the format options can be saved as a chart style set and applied to sets of charts when they are created.

    Screenshots of EIM chemistry plots menu with two sample plots


    Time Sliders

    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.

    GIS+ time slider in action


    Augmented Reality

    Locate and identify inspection and/or monitoring locations on your mobile device. View real-time and historical environmental data to quickly find areas of interest for your chemical and subsurface data. Use your camera to get precise geotagged information for spills, safety incidents, historical chemical sources, subsurface utilities, or any other type of EHS data.

    Locus Augmented Reality


    Boring Logs

    Create and display clickable boring logs of your sample data—using custom style formats and cross-sections. Show depth ranges, lithology patterns, aquifer information, and detailed descriptions for your samples.

    Locus GIS+ boring logs on groundwater contour lines


    Contours

    Create and visualize custom contours using multiple algorithms. Because visualizations let you chunk items together, you can look at the ‘big picture” and not get lost in tables of data results. Your working memory stays within its capacity, your analysis of the information becomes more efficient, and you can gain new insights into your data.

    Contour map for groundwater in Locus GIS+

     

    Contact us to see more

    Send us your contact information and a Locus representative will be in touch to discuss your organization’s environmental data management needs and provide an estimate, or set up a free demo of our enterprise environmental software solutions.

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      Top 5 Usability Features in Locus EIM

      Locus EIM is the leading cloud-based application for managing and reporting environmental data. We have highlighted 5 key usability features that allow users to get the most out of their investment.

      Celebrating 55 years of improving spatial thinking with GIS technology

      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.

      Origins of GIS

      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

      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)

      Esri’s ArcView 3.2 for desktop computers (from the 1990s)
      https://map.sdsu.edu/geog583/lecture/Unit-3.htm

      The Google Revolution

      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

      Traffic conditions in London, 3:30 pm 10/16/2017, from Google Maps

      South Base Camp, Mount Everest, Google StreetView

      South Base Camp, Mount Everest, Google StreetView

      Mashups in the cloud

      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.

      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

      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

      Floodplain data for Buncombe County, NC
      https://buncombe-risk-tool.nemac.org

      Programming GIS with APIs

      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

      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

      Groundwater contour map where each line is a 10 ft. interval, from the Locus EIM system

      There’s a (map) app for that

      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)

      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.

      Locus Mobile map interface

      The map interface in the Locus Mobile app; blue dotted circles indicate locations that are not yet started.

      Looking to the future

      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.

       


      Locus employee Todd PierceAbout 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.


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      Interested in Locus’ GIS solutions?

      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!

      Learn more about GIS+

       

      Locus’ Intellus Site Creates Big Data Transparency in the Cloud; Millions of Environmental Data Records are Now Publicly Available

      Through the Locus EIM platform public facing website, Intellus, the general public can now access remediation and environmental data records associated with the Office of Environmental Management’s (EM’s) legacy nuclear cleanup program.

      Containing more than 14 million records, Locus’ Intellus has consolidated Los Alamos National Laboratory’s (LANL’s) information that was previously handled in multiple independent databases. The centralized, cloud-based solution directly attributed to an estimated $15 million in cost savings for LANL through 2015.

      The public facing site also ensures users have real-time access to the most recent data. The same data that scientists and analysts use to base important environmental stewardship decisions off of. Through tools and capabilities such as automated electronic data validation, interactive maps, and the ability to include data from other third-party providers and environmental programs, Intellus provides the ultimate platform to view LANL’s environmental data without compromising the core EIM system that LANL scientists use on a daily basis.

      Locus has always advocated for the power of data transparency via the cloud. When you apply the most extensive security protocols to a cloud-based system, it can be a winning combination for data management and public trust.

      Predicting the Big Data Boom: Hazardous Data Explosion

      In 1989, 25 years before the technologically advanced world we currently live in, Locus’ founding members were busy publishing an article about the challenges of managing massive amounts of data produced from testing and long-term monitoring at hazardous waste sites.

      The article, “Hazardous Data Explosion“, published in the December 1989 issue of the ASCE Civil Engineering Magazine was among the first of its kind to discuss these issues within the environmental space, and placed Locus securely at the forefront of the big data craze.  This article was followed by a sequel article, titled “Taming Environmental Data“, published in 1992 in the same magazine.

      Today, the term ‘big data’ has become a staple across various industries to describe the enormity and complexity of data sets that need to be captured, stored, analyzed, visualized and reported. Although the concept may have gained public popularity fairly recently, big data has been a formidable opponent for decades.

      “It seems unavoidable that new or improved automated data processing techniques will be needed as the hazardous waste industry evolves. Automation can provide tools that help shorten the time it takes to obtain specific test results, extract the most significant finds, produce reports and display information graphically,” Buckle and Duplan stated.

      They also claimed that “expert systems” and artificial intelligence (AI) could be a possible solution—technology that has been a long time coming but still has a promising future when dealing with big data.  “Currently used in other technical fields, expert systems employ methods of artificial intelligence for interpreting and processing large bodies of information,” the authors explained.

      For more information on AI, see the CBS 60 Minutes episode titled “Artificial Intelligence, Real-Life Applications” from 9 October 2016.

      Almost 30 years later, cloud technologies combined with other advancements in big data processing are rising to the challenge of successfully processing and analyzing big environmental and sustainability data.

      Access the entire 1989 article “Hazardous Data Explosion” here.

      Tag Archive for: Environmental Data

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