GitHub - Fabiano01EST/Spatial-Point-Analysis: Spatial statistics in R offers methods to explore, model, and visualize geographic data. It includes tools for point pattern analysis, spatial autocorrelation, geostatistics, mapping, and regression. These techniques help reveal spatial structures, assess dependencies, and support informed analytical decisions.

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Estatística_Espacial (1).Rmd		Estatística_Espacial (1).Rmd
Estatística_Espacial (2).Rmd		Estatística_Espacial (2).Rmd
Estatística_Espacial (3).Rmd		Estatística_Espacial (3).Rmd
Estatística_Espacial (4).Rmd		Estatística_Espacial (4).Rmd
Estatística_Espacial (5).Rmd		Estatística_Espacial (5).Rmd
Estatística_Espacial (6).Rmd		Estatística_Espacial (6).Rmd
Estatística_Espacial--1-.Rmd		Estatística_Espacial--1-.Rmd
focos_qmd_inpe_2023-11-30_2024-10-01_08.627347.csv		focos_qmd_inpe_2023-11-30_2024-10-01_08.627347.csv
focos_qmd_inpe_2023-11-30_2024-10-01_08.627347.xls		focos_qmd_inpe_2023-11-30_2024-10-01_08.627347.xls

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Spatial statistics in R offers methods to explore, model, and visualize geographic data. It includes tools for point pattern analysis, spatial autocorrelation, geostatistics, mapping, and regression. These techniques help reveal spatial structures, assess dependencies, and support informed analytical decisions.

spatial-statistics spatial-visualization spatial-analysis-r