Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic data and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop and OpenStreetMap. The current version of this product is available in two different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km) and Quadgrid level 18 (with cells of approximately 100x100m).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic data and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop and OpenStreetMap. The current version of this product is available in two different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km) and Quadgrid level 18 (with cells of approximately 100x100m).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic data and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop and OpenStreetMap. The current version of this product is available in two different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km) and Quadgrid level 18 (with cells of approximately 100x100m).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic data and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop and OpenStreetMap. The current version of this product is available in two different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km) and Quadgrid level 18 (with cells of approximately 100x100m).

Extract from the Quarterly Census of Emploment and Wages (QCEW). More info available at: https://www.bls.gov/cew/downloadable-data-files.htm

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Geographic Insights validate, evaluate and benchmark the sales-based dynamics of a location measuring sales, transactions, average ticket size , number of accounts, etc. happening in a retail area on a specific period in time. The indices combine the location of merchants and the date, time and amount of the transactions to create a “timeseries of data”. The indices are aggregated, anonymized and normalized at all levels of the geographic hierarchy.

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic data and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop and OpenStreetMap. The current version of this product is available in two different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km) and Quadgrid level 18 (with cells of approximately 100x100m).

This service provides users with the number of Covid-19 cases in each zip code within the City of Dallas. It is a view only service that provides the public with the data in a secure way. This service is no longer being updated and is provided for historical purposes. It was last updated on February 23, 2023. More data below:Zip codes are an approximation of delivery routes from the US Postal Service. There is not an authoritative GIS layer for US Postal zip codes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zip codes are not good for geospatial analysis.

Mosaiced 100m resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.

Mosaiced 1km resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.

Mosaiced 100m resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.

Mosaiced 1km resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.

Mosaiced 1km resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.