Additional authors of this article include Mary Hall, Reddy Valisekkagari, and Beena Mathew (SAS) as well as Anita Nash (FDEP).
The Florida Department of Environmental Protection (FDEP) ensures the safety and preservation of the state’s rivers, lakes, and coastlines, which they organize into geographic regions called “waterbodies,” also referred to as “WBIDs” (or waterbody IDs). FDEP invests heavily in Esri services, making much of their data on waterbodies publicly available through Esri webmaps and feature service layers.
Since May 2017, FDEP has been using SAS Visual Analytics (VA) to help identify and prioritize waterbodies that have bacterial impairments and that are most exposed to the public. With SAS Visual Analytics 7.4, it can search, filter, and navigate through the affected regions, displaying them in VA maps. But the Department was unable to fully leverage its existing investment in Esri feature services.
Recently, SAS explored upgrading the FDEP VA dashboard from version 7.4 to 8.3, utilizing the SAS open-source Geowebmap to bring FDEP’s webmaps and feature service layers directly into its VA reports.
Using Esri’s webmap builder, SAS composed collections of dense, toggleable layers of data provided by FDEP ranging from cattle herds to boat ramps.
By adding a data-driven content control to a VA 8.3 report, SAS joined FDEP’s waterbody data to Esri webmaps using the following steps.
URL Argument |
Example Value |
Description |
visualizationType |
choropleth |
|
geoId |
WBID |
The name of the VA report’s column containing the waterbody IDs. |
portalItemId |
[…] |
The Esri ID of the Department’s multi-layered webmap obtained from the ArcGIS webmap builder. |
featureServiceUrl |
The URL to the Department’s feature service for waterbody shapes. |
|
featureServiceGeoId |
WBID |
The name of their feature service’s column containing the waterbody IDs. |
featuresMax |
1 |
The number of waterbody shapes to be requested at a time. |
The result is a VA 8.3 report with FDEP’s Esri features and layers driven by SAS VA 8.3 selection, filtering, and interactions.
At the same time, it enables detailed manipulation of their existing feature service layers.
Using the open-source Geowebmap as data-driven content, SAS Visual Analytics users can take control of Esri features in their webmaps and layers.
As SAS continues to investigate ESRI’s growing feature set, we would be grateful for your feedback, and, of course, we welcome collaboration on GitHub.
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