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#

spatial-data-science

Here are 44 public repositories matching this topic...

sfnetworksgeosnapspEDM

Automated Valuation Machine Learning Model for Lima House Pricing

  • UpdatedJan 6, 2022
  • Jupyter Notebook

Spatial Data Science Complementary Features

  • UpdatedFeb 17, 2026
  • C++

Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached.

  • UpdatedJun 17, 2020
  • Jupyter Notebook

An R package for handling fuzzy spatial data

  • UpdatedMay 26, 2025
  • R

Python module to access shootings reported in Fogo Cruzado app.

  • UpdatedDec 22, 2025
  • Python

Analyzing Urban Heat Islands Risk Index

  • UpdatedDec 6, 2024
  • Python

Base teórica de geomática e prática no python de geoprocessamento para geospatial data science. Página em construção.

  • UpdatedOct 17, 2021
  • Jupyter Notebook

Contains materials to reproduce descriptive statistics and figures from 'Spatial Inequality in the Smart City: The Sensor Desert Quandary" published in Transactions of the Institute of British Geographers.

  • UpdatedNov 3, 2020
  • R

Detection of spatio temporal hotspots of traffic accidents in Saudi Arabia for the years 2015 to 2018. The data is aggregated nonetheless using Hijri calendar years 1437, 1438, 1439. Each Hijri year consists of 12 months and approx. 355 days.

  • UpdatedAug 16, 2021
  • Jupyter Notebook

We will try to bring up the information related to the spatial data science together in this page. Please add the details so as to bring up the related topics in single place.

  • UpdatedAug 8, 2022

🗾 Exploring Japan's spatial patterns through data analytics! From temple networks to urban dynamics, this Python-powered repository uncovers hidden geographic insights across traditional and modern Japanese landscapes. 🌸

  • UpdatedDec 31, 2024
  • Jupyter Notebook

Materials for the Introduction to Spatial Data Science and Machine Learning workshops and UCL's Urban Design B-Pro programme 2022/2023

  • UpdatedDec 2, 2022
  • Jupyter Notebook

The code simulates the movement of birds between various stations, generating data points for each visit, including the station visited, exact (slightly perturbed) coordinates, and a timestamp. This data is stored in a GeoDataFrame that can be used for spatial analysis and visualization.

  • UpdatedNov 4, 2024
  • Jupyter Notebook

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