ReST service documentation for developers

ReST service documentation for developers

This dataset encompasses the metadata drawn from preserving and visualizing the Rural Route Nomad Photo and Video Collection. The collection consists of 14,058 born-digital objects shot on over a dozen digital cameras in over 30 countries, on seven continents from the end of 2008 through 2009. Metadata was generated using ExifTool, along with manual means, utilizing OpenRefine and Excel to parse and clean.

The dataset was a result of an overriding project to preserve the digital content of the Rural Route Nomad Collection, and then visualize photographic specs and geographic details with charts, graphs and maps in Tableau. A description of the project as a whole is publicly forthcoming. Visualizations can be found at https://public.tableau.com/app/profile/alan.webber5364.

The population of Metro Vancouver (20110729Regional Growth Strategy Projections Population, Housing and Employment 2006 – 2041 File) will have increased greatly by 2040, and finding a new source of reservoirs for drinking water (2015_ Water Consumption_ Statistics File) will be essential. This issue of drinking water needs to be optimized and estimated (Data Mining file) with the aim of developing the region. Three current sources of water reservoirs for Metro Vancouver are Capilano, Seymour, and Coquitlam, in which the treated water is being supplied to the customer. The linear optimization (LP) model (Optimization, Sensitivity Report File) illustrates the amount of drinking water for each reservoir and region. In fact, the B.C. government has a specific strategy for the growing population till 2040, which leads them toward their goal. In addition, another factor is the new water source for drinking water that needs to be estimated and monitored to anticipate the feasible water source (wells) until 2040. As such, the government will have to make a decision on how much groundwater is used. The goal of the project is two steps: (1) an optimization model for three water reservoirs, and (2) estimating the new source of water to 2040. The process of data analysis for the project includes: the data is analyzed with six software—Trifacta Wrangler, AMPL, Excel Solver, Arc GIS, and SQL—and is visualized in Tableau. 1. Trifacta Wrangler Software clean data (Data Mining file). 2. AMPL and Solver Excel Software optimize drinking water consumption for Metro Vancouver (data in the Optimization and Sensitivity Report file). 3. ArcMap collaborates the raw data and result of the optimization water reservoir and estimating population till 2040 with the ArcGIS software (GIS Map for Tableau file). 4. Visualizing, estimating, and optimizing the source of drinking water for Metro Vancouver until 2040 with SQL software in Tableau (export tableau data file).

High-precision polygonal and centroid-based geographic representations of all U.S. postal ZIP Codes for mapping, analytics, and data enrichment. Built from USPS carrier route data with quarterly updates. Includes boundary polygons (~41,000 deliverable ZIP Codes) and centroids (~33,000 total ZIP Codes including PO Box and Unique types). Features continuous nationwide coverage with filler ZIPs, delivery statistics (residential, multifamily, single-family, business counts), and support for 8 file formats: Shapefile, GeoJSON, SQL Server, MySQL, PostgreSQL, WKT, CSV, and KML. WGS84 coordinate system with 6 decimal precision. Compatible with all major GIS platforms including ArcGIS, QGIS, MapInfo, Tableau, Power BI, and web mapping libraries. All purchases include quarterly updates, unlimited downloads, FTP access, and free technical support.

This is a full-day training, developed by UNEP CMB, to introduce participants to the basics of GIS, how to import points from Excel to a GIS, and how to make maps with QGIS, MapX and Tableau. It prioritizes the use of free and open software.

Rocky Mountain Institute (RMI) Transportation Electrification Strategy (TES) Electric Vehicle Charging Station Layers displaying modeled need for EV stations within Washington State (2023-2035).The RMI TES Modeled Need layer is based on 2010 Census Block Groups from the U.S. Census Bureau.GridUp Tool: GridUp ToolTableau Data: https://public.tableau.com/app/profile/waevcouncil/viz/WashingtonTransportationElectrificationStrategy/Story_PublishedREST URL: https://services.arcgis.com/IYrj3otxNjPsrTRD/arcgis/rest/services/RMI_TES/FeatureServerPlease direct questions about this item to partnerships@wsdot. If you are having trouble viewing this item, please email OnlineMapSupport@wsdot.wa.gov.

This is the source feature layer for the campus vector tile layer. These features are published on Tableau server for use by the GT campus for data visualization and map-based visuals of the campus.

This feature services contains layers displaying the Transportation Electrification Strategy (TES) Electric Vehicle Charging Station Modeled Need for Census Block Groups and Counties within Washington State (2023-2035) developed by the Rocky Mountain Institute (RMI).Rocky Mountain Institute (RMI) Transportation Electrification Strategy (TES)The RMI TES Modeled Need layer is based on 2010 Counties from the U.S. Census Bureau.GridUp Tool: GridUp ToolTableau Data: https://public.tableau.com/app/profile/waevcouncil/viz/WashingtonTransportationElectrificationStrategy/Story_PublishedPlease direct questions about this item to partnerships@wsdot. If you are having trouble viewing this item, please email OnlineMapSupport@wsdot.wa.gov.

This feature services contains layers displaying the Transportation Electrification Strategy (TES) Electric Vehicle Charging Station Modeled Need for Census Block Groups and Counties within Washington State (2023-2035) developed by the Rocky Mountain Institute (RMI).Rocky Mountain Institute (RMI) Transportation Electrification Strategy (TES)The RMI TES Modeled Need layer is based on 2010 Counties from the U.S. Census Bureau.GridUp Tool: GridUp ToolTableau Data: https://public.tableau.com/app/profile/waevcouncil/viz/WashingtonTransportationElectrificationStrategy/Story_PublishedPlease direct questions about this item to partnerships@wsdot. If you are having trouble viewing this item, please email OnlineMapSupport@wsdot.wa.gov.