Giacomo Falchetta's repositories
Electrification_SSA_data
Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers
blackmaRble
blackmaRble: retrieve, wrangle and plot VIIRS Black Marble nighttimelight data in R
inequality_electrification_SSA
Replication code and data for the paper 'Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa'
cooling_electrification
Code and data to replicate the analysis of the paper titled 'Role of residential air circulation and cooling for universal household electrification'
hydropower_remotesensing
Monitoring hydropower reliability in Malawi with satellite data and machine learning
GFTS_african_cities
"Comparing transit in seven major African cities: an accessibility and network analysis" code and data
solar_irrigation
Main code for the paper "Solar irrigation in sub-Saharan Africa: economic feasibility and development potential", by Giacomo Falchetta, Francesco Semeria, Marta Tuninetti, Vittorio Giordano, Shonali Pachauri, and Edward Byers
urban_green_space_mapping_and_tracking
An open-data, open-source model to estimate urban green space and its temporal evolution globaly
aging_climate
Replication code and data for: Aging in a warming world: global projections of cumulative and acute heat exposure of older adults
EarthEngine_scripts
scripts and snippets for Google Earth Engine
GlobalEnergyGIS
Generates input data for energy models on renewable energy in arbitrary world regions using public datasets. Written in Julia 1.x.
gtfs_to_igraph
R script to convert a GTFS feed into an igraph object for network analysis in R
pypsa-africa
PyPSA meets Africa: An Open Source Optimisation Model of the African Energy System. Our website: https://pypsa-meets-africa.github.io/
re4afagri_platform_docs
Documentation for the LEAP-RE RE4AFAGRI platform
VIIRS_electricity_assessment
Scripts used to compile the paper 'Interannual variation in Night-Time Light Radiance predicts changes in National Electricity Consumption conditional on Income-Level and Region' by Giacomo Falchetta and Michel Noussan