Locus and AWS will simplify and expand how customers capture, analyze and take action on EHS compliance and sustainability activities

MOUNTAIN VIEW, Calif., 24 April 2018 — Locus Technologies (Locus), a leader in multi-tenant Software-as-a-Service (SaaS) environmental compliance and sustainability management, today announced it will offer its award-winning EHS Locus Platform SaaS on Amazon Web Services (AWS). Locus announced it will deliver Locus SaaS services designed to simplify and expand how customers capture, analyze and take action on their data and EHS compliance activities. Additionally, Locus announced that the AWS US West (Oregon) Region will be the first new AWS Region supported in Locus’ planned international infrastructure expansion on AWS. Locus’ customers will be able to use the company’s core service—including Locus Platform and more—delivered on AWS, with general availability expected in May 2018. Locus Environmental Information Management (EIM) will be moved to AWS in early 2019.

Locus also plans to deliver integrations that will connect the Locus Platform with AWS Internet of Things (IoT), Amazon CloudFront, and Amazon Virtual Private Cloud (Amazon VPC). Locus intends to leverage AWS IoT by building a new native integration to help businesses generate value from the billions of events generated by connected devices such as real-time environmental monitoring sensors and environmental treatment systems controls.

AWS IoT is a set of cloud services that let connected devices easily and securely interact with cloud applications like Locus Platform and other devices. Locus IoT Cloud will connect with AWS IoT to combine device data with customer data in Locus Platform, allowing businesses to create meaningful customer experiences based on real-time activity and emissions monitoring across all their connected sensors and devices.

For example, a water utility company that maintains millions of IoT-enabled sensors for water flow, pressure, pH, or other water quality measuring devices across their dispersed facilities can use AWS IoT combined with Locus Platform as a whole solution to ingest and manage the data generated by those sensors and devices, and interpret it in real time. By combining water sensor data from AWS IoT with Locus IoT customer data, the water utility company will be able to automatically create an emergency shutdown if chemical or other exceedances or device faults are detected and will be better prepared to serve their customers.

By combining the powerful, actionable intelligence and rapid responsiveness through Locus Platform with the scalability and fast-query performance of AWS, customers can seamlessly analyze large datasets on arrival in real time. This will allow Locus’ customers to instantly explore information, find insights, and take actions from a greater variety and volume of data—all without investing the significant time and resources required to administer a self-managed on-premises data warehouse.

Locus Platform offers a highly configurable, user-friendly interface to fully meet individual organizations’ environmental management needs.  “Locus Platform, when combined with the power and security of AWS, can improve companies’ data collection, analysis, and most importantly, reporting capabilities, resulting in streamlined EH&S compliance and the mitigation of regulatory risks and fines.”  said Wes Hawthorne, President, Locus Technologies.

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.

Intellus - quick searchWhile 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

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

Intellus GIS+ map showing imported layers of US Fish and Wildlife critical habitats in relation to LANL environmental sampling data

WM 2018 - Sean and Nita

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.

In the following webinar, we focused on how various industries can benefit from integration and interoperability of a multi-tenant cloud platform and Internet of Things (IoT) platforms for managing, organizing and monitoring the structured and unstructured data coming from various different sources. Once in the platform, a centralized data repository is created that is suitable for analyzing the key environmental indicators for management, sustainability and environmental compliance.

 

 

With the deployment of IoT through several automated technologies like sensors, programmable logic controllers (PLCs) and other internet and mobile connected devices and other instruments, a masses of real time data is generated that not only needs to be stored but analyzed and managed at interception along with several other sources of structured and unstructured data from different sources. All this data generated by different streaming devices need to be connected through a central place in a scalable cloud-based application to manage compliance and help in real time monitoring of data to come up with for effective solutions for a smarter environment management and sustainability initiatives.

Internet of Things - IoT

IoT technology for environmental monitoring is a booming industry.  The IoT growth for the water industry alone is forecasted to be  $20.10 billion by 2021 that indicates the massive volumes of data will be generated that will need to be to be monitored, managed and analyzed in intelligent, well designed software systems. Excel spreadsheets and ad hoc in-house data systems will not be up to the challenge.

What is the core business problem challenge this webinar will help the audience to solve?

IoT - Internet of ThingsMany companies are concerned that the sheer volume of data will render the information useless, unless all sources of data mentioned above can be turned into actionable information. This challenge can be addressed via the deployment of a highly scalable, end-user configurable, SaaS-based multi-tenant cloud infrastructure, coupled with environmental data management and compliance software applications.  This configuration can connect all the incoming data and create a central data repository that is easily accessible and available for use with responsive data analytics.

A multi-tenant SaaS application can help to process the flow of information in an efficient and effective manner, providing better business and information analysis and interpretation by using various integrated tools. Such applications can help in real time monitoring and provide timely alerts for management and compliance.

Coupled with business analytics, the masses of data can be turned into concise and meaningful information for system users. This approach will solve the problem of managing too much information coming into the organization, and allow it to turn the streaming data into intelligent information to support desired decision-making.

What are the top takeaways attendees can expect to learn?

  • Learn how to create a single centrally accessible system for recording data from various data monitoring sources.
  • Learn how integrating IoT technologies and a multi-tenant SaaS cloud application can allow companies to switch from periodic monitoring on a prescribed schedule to continuous real-time monitoring, without increasing monitoring cost and thereby reducing operational costs.
  • Learn how to reduce compliance cycle time and benefit from smarter management solutions.
  • Leverage the benefits of cloud computing using real-time tools like GIS applications and rich business analytics for reporting and analysis, timely alerts, etc.

 

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Blockchain is a highly disruptive technology that promises to change the world as we know it, much like the World Wide Web’s impact after its introduction in 1991. As companies look to the blockchain model to perform financial transactions, trade stocks, and create open market spaces, many other industries are looking at utilizing blockchain technology to eliminate the middleman. One sector well-positioned to benefit from blockchain technology is the data-intensive Environment, Health, Safety and Sustainability (EHS&S) space.

In particular, I see three major ways that the EHS industry can utilize blockchain technology to change how they manage information: 1) Blockchain-based IoT monitoring, 2) emissions management, and 3) emissions trading.

My belief is that blockchain technology will help to quantify the impact of man-made emissions on global warming trends and provide tools to manage it. One cannot manage what one cannot measure!

Imagine this: every emissions source in your company, whether to water, air, or soil, is connected wirelessly via a sensor or another device (thing) to a blockchain ledger that stores a description of the source, its location, emission factors, etc. Every time that the source generates emissions (that is, it is on), all necessary parameters are recorded in real time. If air emissions are involved, equivalent tons of carbon are calculated and recorded in a blockchain ledger and made available to reporting and trading entities in real time.

Blockchain ledgers may exist at many levels. Some may record emissions at a given site. Others at higher levels (company, state or province, country, continent, etc.) may roll up information from lower level ledgers.

Suppose that emissions are traded so that they are not yours anymore. In that case, someone else owns them, and you do not need to report them again, but everyone knows that you were the generating source. The same logic can be applied to tier 1, 2, and 3 level emissions. Attached to the emissions ledger are all other necessary information about the asset generating those emissions, financial information, depreciation schedule, time in service, operating time, fuel consumption, operators’ names, an estimate of future emissions—the list goes on.

To learn more how blockchain technology will impact emissions monitoring, management, reporting, and trading click here.

US EPA fenceline monitoring data collection officially begins on January 30, 2018. We have put together an infographic to show you some of the ways Locus EIM can help you streamline, consolidate, and take control of all your important environmental information using maps, data reports, formatted outputs, charts, and more!

Locus Fenceline Monitoring - Infographic

Click image for larger version  

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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.

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. 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)

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; 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

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, 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

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.

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

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

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).

Screen capture of air quality data from US EPA AirData GIS app

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

Screen capture of USGS National Water Information System interactive GIS map tool, showing a site in Mountain View, California

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)

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.

Locus Mobile App

Views of many different mobile app use cases from tracking drums to collecting field data

A bright future for GIS applications within EHS software

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.


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+

 

Maybe you’re already using Locus’ iOS app for field data collection, or maybe you’re just curious about how it integrates with Locus’ cloud software.  Either way, we’ve put together a list of the ten coolest features of Locus Mobile.


1. Locus Mobile works with both EIM and Locus Platform applications

The full-featured version of the Locus Mobile iOS application works for either Locus EIM or Locus Platform.  This means that customers using both our key products can manage their work in a single, unified mobile application.

Locus Mobile works with EIM and LP

2. Get temporary coordinates for new sampling locations using the mobile device’s GPS

Locations can be added to EIM without coordinates (Latitude/Longitude or Northing/Easting). If a location without coordinates is used in a Provision File, the location will have a No location icon symbol associated with it (a Location not started symbol if coordinates are known). When a location with a triangle is selected, the user is prompted with the option to ‘Set Location’ – capture the current coordinates (Lat/Long) of where the user is located. When the provision file is loaded to EIM, the data manager will have the option to update the location in EIM with these coordinates. The accuracy of these mobile captured coordinates are below survey grade, but can be updated another time.

Locus Mobile - Temporary coordinates

 

3. In EIM, more than one user can be assigned to a provision file– the data synced (uploaded) to EIM is separated based on the user that collected the data

If you’re not sure who will be sampling on a given day, you can assign multiple users to your provision files.  Later, you can easily see who is responsible for certain sample collection data.

Locus Mobile - Multi users

 

4. Locus Platform’s custom data type icons are displayed in Locus Mobile

Has your Locus Platform been customized to use specific icons and colors?  These icons are also used in Locus Mobile, so if you use both Locus Platform and the mobile app, you’ll instantly recognize your data types while out in the field.

Locus Mobile - LP icons

 

5. Check your sampling progress at any time during the sampling event, without having to search through your locations to see what locations you sampled and when

Although you can see the status on your map and location list, sometimes those lists are very long, and the map gets crowded when large field events are taking place.  Tap the Information icon to see a log of the collected samples for the day.

Locus Mobile - Sampling log

 

6. You can set valid field data ranges with warnings or validation stops to help ensure you have not entered bad data

For EIM Locus Mobile users, when you’re collecting a lot of field data, the “fat finger” problem can make for some colorful data entry errors.  That’s why we built in the ability to specify valid data ranges for any parameter— and provide a warning when you’re about to enter a bad value during field data collection.
Locus Mobile - Data ranges

 

7. Locus Mobile works offline

We know that not every field location is served by wireless or a strong cell signal, so Locus Mobile is built to keep working whether you’re online or offline.  This gives you the flexibility to collect field data from anywhere, then sync back to Locus EIM or Locus Platform when you can.

Locus Mobile - Offline mode

 

8. You can configure default fields in Locus Mobile that will track with the dataset, but won’t show up in the field forms— making your forms less cluttered but still capturing all the information you need

Choose which required fields you want to be visible in Locus Mobile. You also have the option to include your optional field information without displaying them. This gives you control over which fields you see while in the field.

Locus Mobile - Default fields

 

9. Search and filter for locations in a provision file

Dealing with a long list of locations? The search field above the location list lets you start typing the Location ID or Location Description to filter the list. Even better, the extent of the map will adjust to zoom to the matching selections!

Locus Mobile - Location search

 

10. Switch locations quickly with the QR code scanner

Locus Mobile can access your device’s camera and scan QR codes for quick and efficient retrieval of individual locations included in a given provision file.

Locus Mobile - QR code scanner

 


Our product teams are constantly working to improve and add new functionality to Locus Mobile.  If you’re a current user, please let your Locus Account Manager know if you have any ideas for how we can make your field data collection workflows faster and easier.  If you’re not using Locus Mobile yet, please ask them for a free demo!

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+

 

Gitanjali Rao, an 11-year-old budding scientist from Tennessee

Photo: Rao, Gitanjali. “DE3MYSL Submission – Tethys: The Water Lead Contamination Detector” YouTube

Girl’s device uses nanotubes to test lead contamination in water instantly and cheaply

Gitanjali Rao, an 11-year-old budding scientist from Tennessee, has developed an innovative and radical device using nanotubes to test for lead contamination in water. Named ‘Tethys’, this innovative method to test lead in water could prove to be an effective solution in averting water crises like in Flint, Michigan. The device is linked to a smartphone app for instant visualization of results.

The young scientist was shocked when she learned about the water crisis in Flint and was inspired to find a solution to detect water contamination by speedy analysis of lead in water. She is currently one of the top ten finalists in the Discovery Education 3M Young Scientist Challenge, one of the most distinguished science competitions in the U.S.

How ‘Tethys’ works

When her device is dipped in water, the lead-sensitive material in the nanotube indicates if the water is contaminated with lead. The result is then sent to a Bluetooth-enabled smartphone that shows if the water has safe levels of lead or has concentrations of concern. When the device detects lead levels higher than 15 parts per million, the device warns that the water is unsafe.

“There are over 5,000 water systems in the U.S. alone with lead contamination issues,” says Rao in her entry video. “Timely detection and preventative action can help mitigate the problem, but today it takes a long time because of chemical labs and expensive equipment. My solution addresses a core issue of speedy detection of lead contamination, allowing preventative action and even saving lives!”

Gitanjali is currently working with a mentor at 3M for possible commercialization.

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Gitanjali is truly an inspiration to the rest of us as we look for better solutions to the environmental challenges we face today. Here at Locus, we believe that with great ideas like these and the resources and drive to pursue them, many of these challenges can be solved!

Arsenic, a naturally occurring element, is one of the many drinking water contaminants actively monitored by drinking water systems because it can result in adverse health conditions, including an increased risk for a range of cancers. U.S. EPA and the U.S. Bureau of Reclamation (USBR) are joining forces to launch the Arsenic Sensor Prize Competition for the development of new technology to detect arsenic in water. If you are interested in participating you can read more here:

https://blog.epa.gov/blog/2016/09/were-sensing-a-change-in-water-monitoring-introducing-the-arsenic-sensor-prize-competition/

The use of arsenic as a poison is widely documented. As a result, many people are alarmed when they hear that their drinking water, either from a public or private water system, may contain any amount of arsenic. Exposure to arsenic in drinking water at the level the U.S. Environmental Protection Agency (EPA) currently deems as safe in the United States (10 parts per billion) still may induce adverse health outcomes. The U.S. EPA recently lowered the Maximum Contaminant Level (MCL) for arsenic to 10 µ/L in public water supplies—a regulated level that is considered “safe” for a lifetime of exposure—yet concentrations of 100 µ/L and higher are commonly found in private, unregulated well water in regions where arsenic is geologically abundant, including upper New England (Massachusetts, New Hampshire, Maine), Florida, and large parts of the Upper Midwest, the Southwest, and the Rocky Mountains.

Arsenic is a natural component of the earth’s crust and is widely distributed throughout the environment in the air, water and land. It is highly toxic in its inorganic form.

Arsenic in drinking water.

Measuring and testing for arsenic require expensive instruments and lab work, as well as time. However, with new and emerging technologies, a more efficient arsenic monitoring technology could help to improve the monitoring system, reduce costs, and better protect human health and the environment. Typically, samples are sent to a laboratory for analysis, with results available days to weeks later. New technology could accelerate this process by allowing for immediate detection of arsenic in water. This could reduce monitoring costs and help water utilities more effectively control treatment to remove arsenic from the drinking water supply.
The Arsenic Sensor Prize Competition aims to improve the existing process with upcoming and emerging technology. The competition is not exclusively restricted to sensor developers but seeks applicants from all fields, including information technology. For example, besides sensor technologies, a new data collection and transmission technologies such as Internet of Things (IoT) can also accelerate water quality characterization process or better data management, visualization, and reporting via cloud-based SaaS technologies. Applicant criteria include anyone with ideas for how to rapidly, accurately, and cost-effectively measure arsenic in water.

Locus Technologies is a software company that specializes in providing a SaaS-based solution for water quality management. Arsenic is one of  a key and prolific contaminants in our vast water quality databases. We have a keen interest in supporting this excellent and timely competition to help find a way to automate detection and data collection of arsenic and other contaminants in real time. To help shed some light on the  importance of arsenic in drinking water, we performed a quick check on a total number of arsenic records, hits, and locations across all customers in Locus SaaS EIM (Yes multi-tenant SaaS as otherwise, this statistic would be impossible to gather). This is what we found:

Total number of analytical records: >520,000,000
Number of Arsenic Records: 248,850
Number of Arsenic hits (above action limit MCL of 10 µ/L): 112,597
Number of Arsenic locations: 19,304

If you have ideas and  are interested in helping protect our nation’s drinking water, Locus encourages you to participate. We will have a special prize for the winner.