Guide to Spatiotemporal Heat Analysis GIS Package

This document provides instructions for Graphical Information System (GIS) spatiotemporal pattern mining of Land Surface Temperature (LST) data to identify hotter areas within Prince George’s County, Maryland. Using the Space Time Pattern Mining toolset in ArcGIS Pro, with 2014-2024 NASA/USGS Landsat 8 Surface Temperatures, this document provides: (1) a synthesized workflow, and (2) detailed production steps for reproducing a spatiotemporal analysis in any user-define area following an example from Prince George’s County.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-28
DOI
https://doi.org/10.5281/zenodo.14582589
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
0.00
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article

Guide to Spatiotemporal Heat Analysis GIS Package

Zenodo (CERN European Organization for Nuclear Research)
T-cell and B-cell Immunology
article

Guide to Spatiotemporal Heat Analysis GIS Package

article en

Abstract

This document provides instructions for Graphical Information System (GIS) spatiotemporal pattern mining of Land Surface Temperature (LST) data to identify hotter areas within Prince George’s County, Maryland. Using the Space Time Pattern Mining toolset in ArcGIS Pro, with 2014-2024 NASA/USGS Landsat 8 Surface Temperatures, this document provides: (1) a synthesized workflow, and (2) detailed production steps for reproducing a spatiotemporal analysis in any user-define area following an example from Prince George’s County.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
T-cell and B-cell Immunology
DOIOpen Access PDFOpenAlex
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Guide to Spatiotemporal Heat Analysis GIS Package · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS