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Name: Dani Arribas-Bel
Type: User
Blog: darribas.org
Name: Dani Arribas-Bel
Type: User
Blog: darribas.org
Site for the AAG special sessions on Big Data applications
Site for the AAG'16 special sessions on Big Data applications
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
A minimal library for alpha shape computation.
A chronological drawer of threads, thoughts, and intellectual tinkering.
Vagrant config for a PostGIS database of the Dutch cadaster (`BAG`)
Web resource for the EP-A paper "'From manufacturing belt, to rust belt, to college country' - A Visual Narrative of the US Urban Growth", co-authored with Michiel Gerritse
University of Birmingham (UK) - GIScience Computer Practical for AVDs
Landing grid for scattered bits of myself in the Web
Binder instance to interact with chapter for the Geographic Information Science & Technology Body of Knowledge
Replication of results for "The socio-cultural sources of urban buzz"
Preserved CATMOG (Concepts And Techniques in MOdern Geography) series
GeoDaSpace workshop at the V Jean Paelink Seminar, Coimbra, October 2012
Commuting flows visually. Code from the paper.
Docker-based Jupyterhub server for multi-user computation
QMRG Constitution
Context geo-tiles in Python
A conda-smithy repository for contextily.
Collection of diverse tools written in python with no particular connection between each other
Several utils written in R
Personal website
Paper "Accidental, Open and Everywhere: Emerging Data Sources for the Understanding of Cities"
Data acquisition and processing for Urban Grammar
Materials for the "Data Science Studio" course
PDF exporter for HTML presentation frameworks
Code and results for the paper "How diverse can spatial measures of cultural diversity be? - Results from Monte Carlo simulations of an agent-based model", by Dani Arribas-Bel, Peter Nijkamp and Jacques Poot.
Dockerized CartoDB
kepler.gl in a box
Materials for session(s) introducing Docker for reproducible platforms of Geographic Data Science
R&Py Spatial Analysis Workshop, 5 September 2019: European Colloquium on Theoretical and Quantitative Geography
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.