hotspot-analysis

An Interactive Approach to Understanding Unsupervised Learning Algorithms

A software quality analysis tool based on hotspot prioritization and commits

A modern MikroTik hotspot manager

Spatial statistics lab for QGIS planning workflows - hot spots, LISA, Spatial Gini, GWR/MGWR and model comparison (Processing).

Analysis of when and where New York City (NYC) vehicle collisions occur with a focus on collisions involving pedestrians and cyclists.

Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript

Contains Weekly Activites for the (ISTE 740) Geographic Information Sciences and Technologies Course @ RIT

Hotspot analysis on Big Data of a major taxi company using Apache Spark and Scala

Point your coding agent at your repo: an air-gapped sweep that finds your kill zone — files at high complexity × high churn × security. By Black Box Research Labs.

Chicago crash severity: LightGBM prediction with SHAP/LIME, plus an ESRI ArcGIS Getis-Ord Gi* vs. DBSCAN hotspot map with trauma-center drive times. Live map at the link.

We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.

Spatial Hotspot Analysis on Geo-Spatial Data using Apache Spark and Scala

Spatiotemporal analysis of the course of the COVID-19 pandemic in Germany

Vantage, AI-powered road safety intelligence platform for accident severity prediction, hotspot detection, road-risk analysis, and evidence-grounded infrastructure insights.

Predictive accuracy of road crash hotspot methods and the official crash-concentration criterion in Moscow, 2015-2025: code, results, figures

Python and GIS workflow for severity-weighted crash mapping and DBSCAN hotspot identification in Gazipur, Bangladesh.

Using LiDAR to characterize urban forest structure and composition and locate hotspots based on derived individual tree attributes

CLI that mines exported Git history logs for maintenance metrics. Ranks files or functions with a relative risk score from revisions, churn, coupling, and ownership. Indicators to investigate, not blame.

A geospatial data analytics project analyzing 26 years of UK economic (GVA) and deprivation (IMD) data. Features an ETL pipeline, spatial statistics, and interactive visualizations.