Dani Arribas-Bel

gds_env. A containerised platform for Geographic Data Science

gds_course. Geographic Data Science, the course

gds19. Geographic Data Science'19

gds18. Geographic Data Science'18

gds17. Geographic Data Science'17

gds_scipy16. Geographic Data Science with PySAL - Scipy'16

geographic-data-science. This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

contextily. Context geo-tiles in Python

satellite_led_liverpool. 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

wmn. Web Mapping Notes

gds_ufmg19. Geographic Data Science in Python - UFMG'19

adbscan_buildings. Repository for paper "Building(s and) cities:Delineating urban areas with a machine learning algorithm", by Dani Arribas-Bel, Miquel-Angel Garcia-Lopez and Elisabet Viladecans

gds15. Geographic Data Science - Autumn term 2015

gds16. Geographic Data Science 2016

gds_ucm19. GDS for UCM'19

spa_notes. Notes on Spatial Analysis

mlm. Docker setup for (Bayesian) Multilevel modelling of spatial data in Python/R

sdar_mini. Spatial Data, Analysis and Regression mini course

int_sp_auto. Interactively play with spatial autocorrelation

pysal_kepler_demo. Demo to combine PySAL and Kepler.gl

gds4ae. Geographic Data Science for Applied Economists

scipy2018-geospatial-data. Jupyter Notebook

space-time_calendar. Materials for the paper "Characterizing the Spatial Structure(s) of Cities 'on the fly': The Space-Time Calendar"

notebooks. ipython notebooks demonstrating PySAL functionality

libpysal. Core components of Python Spatial Analysis Library

install-gis-ubuntu. Bash script to install frequently needed software on top of Ubuntu

bag_box. Vagrant config for a PostGIS database of the Dutch cadaster (`BAG`)

gds_bookshelf. A bundle of open books about Geographic Data Science, served ready to explore interactively

simVizMap. Visualization of simulation results

us_employment_centers. Code and data from "The Validity of the Monocentric City Model in a Polycentric Age: US Metropolitan Areas in 1990, 2000 and 2010"

esda. statistics and classes for exploratory spatial data analysis

darribas.github.com. Personal website

gdsbook.github.io. SCSS

intRo-asu201203. Repository for slides, code and data for the intro to R at ASU in March 2012. Joint with Nick Malizia

region_satellite. Notebook for reproduction

satenv. Docker container with environment and materials for satellite workshop

bits. Landing grid for scattered bits of myself in the Web

WooWii. WooW 2.0

int_dbscan. Interactively exploring DBSCAN

data_science_studio. Materials for the "Data Science Studio" course

docker_helper. Materials for session(s) introducing Docker for reproducible platforms of Geographic Data Science

uatk-spc. Synthetic Population Catalyst