SymGEO is excited to demonstrate flood visualization technology built on the Esri Local Government 3D Basemap Solution. In this example, the City of Laurel, Maryland, has a number of buildings that are located in the floodplain and are therefore at risk of flooding. This information can be conveyed using the FEMA National Flood Hazard Layer (NFHL) Viewer as shown below, but we decided to bring this data to life using an Esri ArcGIS Solution instead!
Realistic building textures, vegetation, and current imagery allow the user audience to recognize features and landmarks during demonstrations. Streets can be labeled, and buildings of interest can be highlighted with either labels or colors to call attention to focus areas.
Continual improvements using Esri’s 3D rendering and animation technology enable fly-throughs, call-outs, layer transitions, time-lapse visualizations, and other features and functionality that make this 3D basemap solution the perfect tool to communicate risk and mitigation plans.
Contact SymGEO for your 3D visualization and communication needs and start a conversation today!
When our collaborative partners at Armor at Hand asked us if we were willing to continue our pro-bono work to fight the devastating effects of COVID-19 and help the people of Honduras, we didn’t hesitate. The result of this international work can now be seen in the Optimized Capacity and Mitigation (OCM) Honduras Dashboard.
This dashboard leverages data specific to Honduras and is a variant of the US version. This required significant updates to the modeling process and data files as well as a reconfiguration of the dashboard to reference the new data schemas. ArcGIS Online Assistant was used to facilitate the substitution of ArcGIS web maps and data services, and a new python script was developed to keep the Honduras data current.
SymGEO was honored to work with a leading commercial real estate broker to identify and construct almost 1500 industrial buildings in 3D. Using a provided list of addresses, the buildings were geocoded using ArcGIS Pro and visually inspected to validate the location. We then used Esri’s “World Image Clarity” basemap and ArcGIS Pro editing tools to construct building footprints and to segment them based on roof shadow lines. Roof heights were assigned based on known values or were given a default value if unknown. Buildings ranged from “quite simple” to “reasonably complex”, but we worked tirelessly to complete the task!
“Thanks again for all your work on this.” – Program Manager, Client Confidential
Contact SymGEO for your 3D digital needs and start a conversation today!
Have you ever wondered where the best places to market your services are? Sifting through a list of thousands of potential contacts can be rather daunting, but fortunately, ArcGIS geocoding can bring that task down to a manageable size.
SymGEO recently worked with a confidential medical group to identify provider locations and potential targets that included rural health clinics, medically underserved areas (MUA), medically underserved populations (MUP), primary care facilities, dental care facilities, and mental health facilities. This information was then cross-correlated with ten thousand certified and licensed providers to determine the optimal areas for marketing campaigns.
“That’s perfect! This has been a lifesaver.”
– Client Confidential, medical services marketing
Due to the sensitive nature of this information, we can only share generalized graphics, but the power of GIS and locational analysis saved time, energy, and money during the sales and marketing process.
Contact SymGEO today with your sales and marketing needs!
Returning to “normal” after (or during) a global pandemic is a complicated prospect. Finding the right balance between the potential rate of infection based on social distancing scenarios versus hospital capacity to handle projected cases requires advanced spatial modeling and analytics. Needless to say, when SymGEO was asked to help our national recovery effort by our respected peers in the industry, GeoMarvel and Armor at Hand, we were happy to do as much as possible to assist.
The result of this collaboration is the Optimized Capacity and Mitigation (OCM) Analytics Dashboard, free for use in the ArcGIS Marketplace to assist with COVID-19 mitigation efforts. This dashboard is designed to use current hospital capacity data, infection rate scenarios based on demonstrated or projected epidemiology statistics, and peer-reviewed variable modeling methods. The history of this project is described on the OCM ArcGIS Hub site and summarized in an informative OCM whitepaper.
As modeling scenarios become more sophisticated and our understanding of infection rates is improved, this information can be used to augment the dashboard results. This information can be submitted by subject matter experts through an integrated survey on the ArcGIS Hub site.
ArcGIS Pro ModelBuilder was used to facilitate and standardize the modeling updates and data tables used by the dashboard. The model was then converted into a Python script, designed to be run as needed to keep the data current and informative.
Check out the OCM Dashboard, OCM Hub page, or OCM ArcGIS Marketplace listing to learn all about this project and let us know if SymGEO can help you leverage your spatial data with an ArcGIS Dashboard, ArcGIS Hub site, or the ModelBuilder process.
We are excited and honored to announce that our World Bank asset management work in Croatia has been published in ArcNews Spring 2020 edition! We had lots of fun crunching data, solving international geospatial mysteries, and leveraging ArcGIS Dashboard and ArcGIS Pro capabilities. It’s not every day that our work is featured in front of an audience of 900,000 GIS professionals, so come see what all the excitement is about!
Check out the article to learn all about this project and let us know if SymGEO can help you leverage your spatial data with an ArcGIS Dashboard.
SymGEO is honored to have our World Bank asset management work in Croatia featured as a successful case study by Esri! We had lots of fun crunching data, solving geospatial mysteries, and leveraging ArcGIS Dashboard and ArcGIS Pro capabilities.
This solution was also featured on the ArcGIS Dashboard product page as a good example of what can be done with this flexible and powerful technology.
SymGEO is proud to announce a new project with the Virginia Department of Transportation (VDOT), designed to explore the use of remote sensing techniques in the identification of wetlands. Traditional wetland delineation requires expert field work, which includes many hours of travel, sampling, and precise survey measurement to delineate what can actually be quite a variable environmental boundary. The best indicators of wetlands tend to be the vegetative species, ground elevation, and hydrology connectivity. Soil sampling and other methods are used to further validate findings, but in today’s data-rich environment, a pretty good indication of wetlands can be gathered through remote sensing.
For this project, LiDAR elevation information was combined with multi-spectral imagery to produce a 6-band composite image using ArcGIS Pro. This composite image was then used in conjunction with National Wetland Inventory (NWI) data to establish training sites for a supervised classification algorithm.
Once a suitable number of training sites were established, the supervised classification algorithm was run on the pilot study area. The results were compared with the National Wetland Inventory data, and a substantial improvement in boundary alignment was noted. This is critical in the accurate measurement of potential impacts to wetlands during road construction or property development, so that an equivalent, mitigating wetland area can be created elsewhere.
It was noted that upland forested areas were sometimes identified as wetland forested areas, indicating that elevation relative to nearest water needs to be included in the classification algorithm. The classification results are currently used as a guide for semi-automated wetland area delineation, but we believe the model could mature to include all required factors and accurately, automatically delineate the wetlands.
If you have supporting data and a need for efficient wetland delineation, SymGEO would love to talk!
I admit, I resisted for years. Workflow automation seemed like too much work to set up, and I always argued that my spatial data challenges were mostly one-off unique situations that weren’t conducive to setting up a workflow. Until one recent day I saw the light… and I blame California.
Perhaps you remember our work to incorporate near real-time remote sensing into crop drought monitoring? Well, it turns out that to keep an application like that up to date, the same process is needed time and again, and so the need for data automation was born into the world of SymGEO. Through automation, data layers and attribute fields are always named the same, and features can be over-written without fear of “something breaking” deep within a configurable application. There is also the added benefit of incorporating the usual workarounds that go into regular behind-the-scenes geospatial work such as calculating areas as acreage, or converting grid values into meaningful text. This saves countless hours of frustration and memory searching down the road when trying to repeat a process.
Needless to say, this does cause a model to expand once all the pieces are bolted on, but Esri’s ModelBuilder allows the easy configuration (and re-configuration) of the model until all works as designed.
This model has been run many times to make sure all products worked as expected, especially during initial configuration. However, the time savings was considerable with workflow automation given the number of steps involved and the dependency on intermediate layers. In hindsight, it seems to be the finding and configuring of the tools that takes time, not the actual running of the tool.
These work products were used to produce and optimize the Crop Drought Status dashboard, which is now ultra-responsive and designed for use at the county-level.
If you’d like a second pair of eyes on your data workflow, let us know, as SymGEO is ready to automate with ModelBuilder!
Do you have a mobile workforce in charge of inspecting, maintaining or interacting with assets? Watering trees, inspecting signs, putting up flyers, or targeted fundraising activities? If so, there is a new technology from Esri called Workforce that has your name all over it.
Beginning with asset data hosted in ArcGIS Online, a series of filters and queries can be used to determine which assets need to be assigned to your workforce. These might be assets over a certain age due for inspection, or locations where an issue has been reported. Assignments are made to named individuals in your ArcGIS organization, and contain information including location, priority level and due dates.
The assignments are then pushed to the mobile devices of your workforce, where they accept, navigate to, and complete the assignments. This may entail entering in notes, or taking pictures, and updating the assignment status. This information is sent back to the centralized cloud-based ArcGIS Online database in near real-time in a connected environment, or upon data synchronization if out of cell / wi-fi range.
Back in the office, the workforce administrator can use the information to check worker progress, see current worker status and location, and re-allocate resources if needed. The information is easily aggregated and displayed using a dashboard or configurable web application.
If you’d like a hand getting set up, let us know, and SymGEO will put Workforce to work for you!