Visualização de dados geográficos usando Python (Github Pages) no frontend e PostgreSQL (Supabase) no backend.
#python #postgis #postgresql #sql #webgis
⚠️ versão sem BD:
*Carregue arquivos GeoJSON e calcule áreas usando Python*
geosaber.github.io/webgis
Visualização de dados geográficos usando Python (Github Pages) no frontend e PostgreSQL (Supabase) no backend.
#python #postgis #postgresql #sql #webgis
⚠️ versão sem BD:
*Carregue arquivos GeoJSON e calcule áreas usando Python*
geosaber.github.io/webgis
Improve SAR geolocation accuracy.
Support for the BIOMASS commissioning phase products and ECOSTRESS Collection 2, improved ICEYE reader, S3 reader and OLCI O2A harmonization. Plus: Naive-Bayes, new Spectral Indices and LERC support.
t.co/mOOnQ6obws
Improve SAR geolocation accuracy.
Support for the BIOMASS commissioning phase products and ECOSTRESS Collection 2, improved ICEYE reader, S3 reader and OLCI O2A harmonization. Plus: Naive-Bayes, new Spectral Indices and LERC support.
t.co/mOOnQ6obws
If you’re using R, Python, or Julia, consider sharing open-source examples or tutorials. 🧭
30daymapchallenge.com
#GeoData #DataViz #Maps #SpatialViz
If you’re using R, Python, or Julia, consider sharing open-source examples or tutorials. 🧭
30daymapchallenge.com
#GeoData #DataViz #Maps #SpatialViz
#qgis #trend #interpolation
▫️ Geological trend identification
▫️ Climate pattern analysis
▫️ Pollution gradient mapping
▫️ Temperature surface generation
▫️ Precipitation trend analysis
github.com/geosaber/trendsurf
#qgis #trend #interpolation
▫️ Geological trend identification
▫️ Climate pattern analysis
▫️ Pollution gradient mapping
▫️ Temperature surface generation
▫️ Precipitation trend analysis
github.com/geosaber/trendsurf
gstat.geosaber.com.br/potenciometr...
gstat.geosaber.com.br/potenciometr...
Dive into the world of spatial analysis and geospatial data with Python. 📖🐍
Book's website: https://buff.ly/3NK2uBq
#geocompx #geopython #spatialanalysis
Dive into the world of spatial analysis and geospatial data with Python. 📖🐍
Book's website: https://buff.ly/3NK2uBq
#geocompx #geopython #spatialanalysis
This tool automates variogram modeling and kriging within QGIS, providing a user-friendly interface for spatial interpolation.
#qgis #geostatistics #kriging #prediction #variogram
github.com/geosaber/geo...
This tool automates variogram modeling and kriging within QGIS, providing a user-friendly interface for spatial interpolation.
#qgis #geostatistics #kriging #prediction #variogram
github.com/geosaber/geo...
🔗 www.paulamoraga.com/book-spatial...
#rstats #rspatial #GISChat
🔗 www.paulamoraga.com/book-spatial...
#rstats #rspatial #GISChat
The example is a model to create Relative Elevation Models (REM). #gis
The example is a model to create Relative Elevation Models (REM). #gis
www.clarku.edu/centers/geos...
www.clarku.edu/centers/geos...
🌤 Weather: average temperatures ranging from 25°C to 32°C. Be prepared for warm and humid days
❄️ All indoor spaces have air conditioning
🔌 Power outlets: Brazil uses type N outlets (sometimes type C), and the voltage in Belém is 127V. Bring an adapter if needed!
2024.foss4g.org
🌤 Weather: average temperatures ranging from 25°C to 32°C. Be prepared for warm and humid days
❄️ All indoor spaces have air conditioning
🔌 Power outlets: Brazil uses type N outlets (sometimes type C), and the voltage in Belém is 127V. Bring an adapter if needed!
2024.foss4g.org
Chapter 1: Spatial Data Types
🔹 Areal: aggregated number of events (disease counts)
🔹 Geostatistical: observations at known locations (air pollution)
🔹 Point patterns: event locations (fires, trees)
Examples 👉 www.paulamoraga.com/book-spatial...
Chapter 1: Spatial Data Types
🔹 Areal: aggregated number of events (disease counts)
🔹 Geostatistical: observations at known locations (air pollution)
🔹 Point patterns: event locations (fires, trees)
Examples 👉 www.paulamoraga.com/book-spatial...