This repository studies the occurrence and localization of commercial establishments in Medellín, modeled as a point processes. It analyzes area intensity based on CIUU commercial codes and identify whether point distributions are clustered, random, or inhibitory.
This repository contains the code and data necessary to reproduce the results presented in the paper "Ridge Regularization for Spatial Auto-regressive Models with Multicollinearity Issues" submitted to Advances in Statistical Analysis (AStA).
R package for OpenCPU backend to detect and visualize spatio-temporal disease clusters from the web
Open Educational Resource for teaching spatial data analysis and statistics with R
The assignments required me to create a website to display spatial analysis techniques.
Analyzing the spatial patterns of Canada Lynx locations and building a model to predict their location.
Spatial Demography Seminar Fall 2021
This preliminary study links spatial data science, street network analysis and urban planning with San Francisco as a testing ground.
A basic tutorial on implementing Moran's I analysis in R
Analysis of Spatial data using R
Contains Weekly Activites for the (ISTE 740) Geographic Information Sciences and Technologies Course @ RIT
Thesis Chatper 3: This repository compares Spatial Interpolation methods to predict Seoul's air pollution
Volume analysis of 3D point sets in IgorPro
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