Fernando Gomes's starred repositories
react-three-fiber
🇨🇭 A React renderer for Three.js
techniques
Techniques for deep learning with satellite & aerial imagery
GlobalMLBuildingFootprints
Worldwide building footprints derived from satellite imagery
scikit-mobility
scikit-mobility: mobility analysis in Python
openglobus
TypeScript/JavaScript 3D maps and geospatial data visualization engine library
speckle-server
The Speckle Server, Frontend, 3D Viewer, & other JS utilities.
DeepForest
Python Package for Airborne RGB machine learning
mercantile
Spherical mercator tile and coordinate utilities
import-ply-as-verts
Blender Python PLY importer for point clouds and nonstandard models.
clj-processing
A wrapper for Processing in Clojure.
censo-querido-diario
Queremos descobrir onde os diários oficiais das prefeituras de todo o Brasil estão sendo publicados. Nos ajude nesse trabalho!
gis-metadata-parser
Parser for GIS metadata standards including ArcGIS, FGDC and ISO-19115
rust-crash-course-jupyter-notebooks
A series of Jupyter notebooks to learn the basics of Rust!
WFS-to-PostgreSQL-PostGIS
Read wfs link / load PostgresSQL/PostGIS
infograficos-educacao-receitas
Repositório do infográfico “Desigualdades no Financiamento da Educação Pública”. Este infográfico é baseado no estudo “Efeitos da complementação da União no Fundeb na desigualdade interestadual de receitas da educação básica: uma análise de 2009 a 2020. 45o Encontro Anual Anpocs, 26 de outubro de 2021.” de autoria de Ursula Dias Peres, Cristiane Branco Capuchinho e Rogério Machado Limonti Tibúrcio.
Treecounting_using_deepforest
Deepforest is library used to count tree in an aerial imagery using transfer learning and neural networks. it has regressor that counts the box predictions of the tree and return the Numpy array where we can view the predictions.
Cumulative-and-self-reinforcing-Spatial-Inequalities
R Scripts for Bittencourt, T. A., Giannotti, M. and Marques, E. (2020) ‘Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises’, Environment and Planning B: Urban Analytics and City Science. doi: 10.1177/2399808320958426.