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Grid_Metrics_2020_Heat (FeatureServer)

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Service Description: This analysis, done in support of the Proctor Creek Health Impact project, produced a grid showing where green infrastructure would likely have the highest benefit. The grid analysis, based on a publican by GreenLaw* was carried out as follows. First, spatial data was gathered and/or generated for metrics, that may correlate with or compound health or environmental outcomes associated with flooding or extreme heat events. Secondly, a grid of evenly sized squares was created and overlain on the study area and the presence of each metric was measured within each cell (percent area or mean value). Finally, to normalize the data values, the summed values were classified into five equal quantiles, with values of 1 to 5, each containing about 20% of the total counts. The quantiles were summed and then classified into quantiles. If the metric is conversely proportional to the outcome–for example, higher NDVI values are inversely related to the impacts of an extreme heat event–then the quantile values were reversed. The grid cells with the highest quantile values (e.g., quantiles 5 and 4) are likely a good place for targeting green infrastructure efforts and thus warrant closer inspection. These areas are ostensibly places where green infrastructure would provide the most environmental mitigation and/or offer the highest benefit to the population. *Green Law. (2012) The Patterns of Pollution: A Report on the Demographics of Pollution in Metro Atlanta

Service ItemId: 34c82275ecd4490997df454244498be3

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: False

All Layers and Tables

Layers:

Description:

Copyright Text:

Spatial Reference: 102667 (2240)

Initial Extent:
Full Extent:
Units: esriFeet

Child Resources:   Info

Supported Operations:   Query   ConvertFormat   Get Estimates   Create Replica