pysal / spreg
Spatial econometric regression in Python
☆73Updated last week
Related projects ⓘ
Alternatives and complementary repositories for spreg
- Measures of spatial (and non-spatial) inequality☆29Updated last month
- Software for Advanced Spatial Econometrics☆47Updated last year
- HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from h…☆74Updated 2 years ago
- Segregation Measurement, Inferential Statistics, and Decomposition Analysis☆114Updated 2 weeks ago
- Develop machine learning models for poverty estimation☆27Updated 6 months ago
- SPatial INTeraction Models (spint)☆54Updated 11 months ago
- Steps to create electrification estimates from settlement maps and nighttime satellite imagery.☆15Updated 4 years ago
- A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.☆35Updated 4 months ago
- This repo hosts data and scripts to replicate Ratledge et al 2022 in Nature☆21Updated last year
- Codes and data to plot figures in the paper "Micro-Estimates of Wealth for all Low- and Middle-Income Countries"☆12Updated 3 years ago
- Spatially Clustered Regression☆10Updated 2 years ago
- Python package to calculate 2SFCA and other measures of spatial accessibility☆37Updated 5 years ago
- ☆37Updated 2 years ago
- spatial statistical/econometric modeling in pymc3 & stan☆25Updated 3 years ago
- Collection of tools and training materials for exploring the open Nighttime Lights repository☆32Updated 2 months ago
- A python module for the synthetic control method☆54Updated 4 months ago
- ☆40Updated last year
- Supporting materials for the Transport Demand Modeling course, lectured by Prof. Filipe Moura.☆24Updated this week
- Characterizing urban land use with machine learning☆29Updated 4 years ago
- Python library for discrete choice modeling☆74Updated last year
- GeoPyTeR: Geographical Python Teaching Resource☆68Updated 11 months ago
- An open-source tool for calculating and reporting spatial indicators for healthy, sustainable cities worldwide using open or custom data.☆86Updated 2 weeks ago
- D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using …☆57Updated 2 years ago
- Partnership-curated notebooks to support COVID-19 response☆24Updated last year
- The COVID19 Mobility Task Force will use data from Mobile Network Operators (MNOs) to support data-poor countries with analytics on mobil…☆24Updated 3 years ago
- GOST's combined tools for urban analysis☆10Updated this week
- A library for Spatially-Explicit Regionalization☆15Updated 4 years ago
- Site for "Spatial Data Science for Sustainable Development" course at the Dept. Built Environment, Aalto University☆85Updated last month
- ☆46Updated 3 years ago
- Jupyter notebooks to illustrate spatial regression functionality☆11Updated last week