Interested in the #GoogleColab books?

Find them here:
1. Descriptive statistics:
tinyurl.com/mudc2zuc
2. OLS:
tinyurl.com/2f45rnc63.
3. GWR Regression:
tinyurl.com/bddnr2vt
4. MGWR Regression:
tinyurl.com/2rz8eyf9
5. Relationship between GWR and MGWR coefficients:
tinyurl.com/38rk83a8

The summary was kindly provided by Carlos Mendez.

🧪 Revised inference framework applied to GWR/MGWR addresses multiple testing, improving statistical validity of local estimates. Enhances robustness of spatial parameter interpretation across regions.
#SpatialStats #Methodology #MultipleTesting #Inference #GWR #MGWR #Python #OpenScience 5/5

📍 Geographical clusters of violence remain even after accounting for predictors in GWR/MGWR models.
#SpatialClustering #Residuals #Violence #Brazil #Geospatial #OpenSource 4/5

📐 MGWR results highlight distinct operational scales for violence-related covariates. Spatial scale differs substantially, suggesting nuanced spatial processes underpinning violent crime across Brazil.
#ScaleEffects #SpatialHeterogeneity #MGWR #OpenScience #Brazil 3/5

🌐 Extended analysis using Multiscale GWR (#MGWR) identifies spatial scale heterogeneity in violence predictors. Cloud-based implementation reveals that covariate effects vary in spatial extent, surpassing standard #GWR capabilities.
#SpatialScale #GeoComputation #Brazil #Python 2/5

📊Open-source cloud-based Python replication study confirms and extends Ingram & Da Costa (2019) findings on regional violence correlates. Implemented via #GoogleColab, results underscore substantial spatial heterogeneity across 5,562 municipalities in #Brazil.
#SpatialAnalysis #Replication 1/5

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