darribas / satellite_led_liverpoolLinks
Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque
☆14Updated 6 years ago
Alternatives and similar repositories for satellite_led_liverpool
Users that are interested in satellite_led_liverpool are comparing it to the libraries listed below
Sorting:
- Spatial feature processing of satellite imagery☆32Updated 7 years ago
- Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis☆77Updated 2 weeks ago
- Spatial classification and regression using Scikit-learn and Rasterio☆128Updated 3 years ago
- GeoPyTeR: Geographical Python Teaching Resource☆70Updated 2 years ago
- jupyter/ipython notebooks demonstrating PySAL functionality☆57Updated 2 years ago
- Geographic Data Science'18☆50Updated 6 years ago
- Lecture notes and various items for a course on space-time analytics☆29Updated 9 years ago
- A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python☆50Updated 4 years ago
- Interactive exploration of GeoPandas GeoDataFrames☆29Updated 4 years ago
- Open Geospatial Datasets for GIS Education: This is a repository of open geospatial datasets to be used in an educational context. I crea…☆81Updated 3 years ago
- Tutorials for spatial data processing and analysis in R and Python☆43Updated 6 years ago
- Software for Advanced Spatial Econometrics☆52Updated 2 years ago
- This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.☆79Updated 2 years ago
- Measures of spatial (and non-spatial) inequality☆36Updated 2 weeks ago
- Lightweight plotting for geospatial analysis in PySAL☆101Updated 7 months ago
- Geohackweek Tutorial Contents☆71Updated 5 years ago
- tmpnb runtime and Jupyter Notebooks for NCSU Geospatial Modeling and Analysis course☆33Updated 5 years ago
- ☆56Updated 7 years ago
- Geographic Data Science with PySAL - Scipy'16☆39Updated 9 years ago
- Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.☆26Updated 7 years ago
- ☆41Updated 2 years ago
- Course materials of Automating GIS processes -course for year 2017, Department of Geosciences and Geography, Uni. Helsinki☆46Updated 7 years ago
- Scraping, parsing, and analyzing every public Earth Engine repository☆19Updated 3 years ago
- Workshop materials for the Writing an efficient code for GeoPandas and Shapely in 2023☆89Updated 2 years ago
- A graphical representation of the python geospatial stack☆59Updated 7 years ago
- Scripts and notebooks for scalable geospatial data science☆24Updated 2 years ago
- Street network models and indicators for every urban area in the world☆90Updated last month
- cedar - Create Earth engine Datacubes of Analytical Readiness☆11Updated 6 years ago
- NCSU GIS/MEA582: Geospatial Modeling and Analysis Course☆35Updated last week
- Classification schemes for choropleth mapping.☆150Updated 2 weeks ago