aaronpenne / get_noaa_ghcn_dataLinks
A tool to interface with and download Global Historical Climatology Network (GHCN) data into easily readable CSVs.
☆103Updated 6 years ago
Alternatives and similar repositories for get_noaa_ghcn_data
Users that are interested in get_noaa_ghcn_data are comparing it to the libraries listed below
Sorting:
- Legendgrams are distributional visualizations for map classification schemes☆53Updated 2 months ago
- Faster file-based I/O for geometry data with Geopandas☆59Updated 5 years ago
- Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis☆77Updated 2 months ago
- The Geospatial Neighborhood Analysis Package☆263Updated 2 months ago
- Mini toolbox using geopandas/GeoDataFrame and providing some convenience functions☆64Updated 2 years ago
- Segregation Measurement, Inferential Statistics, and Decomposition Analysis☆119Updated 4 months ago
- ☆56Updated 7 years ago
- Classification schemes for choropleth mapping.☆148Updated 2 weeks ago
- A collection of Planet OS Jupyter notebooks.☆113Updated 2 years ago
- Course materials of Automating GIS processes -course for year 2017, Department of Geosciences and Geography, Uni. Helsinki☆47Updated 6 years ago
- gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data☆52Updated 5 years ago
- Parallelized GeoPandas with Dask☆107Updated last year
- Explore and download data from Census APIs☆190Updated 2 years ago
- Lightweight plotting for geospatial analysis in PySAL☆101Updated 3 months ago
- Geographic Data Science'18☆49Updated 6 years ago
- GeoPyTeR: Geographical Python Teaching Resource☆69Updated last year
- Geospatial Data in Python Tutorial Materials☆91Updated 10 years ago
- Interactive exploration of GeoPandas GeoDataFrames☆29Updated 4 years ago
- Spatial classification and regression using Scikit-learn and Rasterio☆128Updated 2 years ago
- GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.☆201Updated 9 months ago
- This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.☆79Updated 2 years ago
- statistics and classes for exploratory spatial data analysis☆229Updated last week
- Measures of spatial (and non-spatial) inequality☆34Updated 2 months ago
- Areal & Dasymetric Interpolation; Change of Support☆163Updated 6 months ago
- Read and write rasters in parallel using Rasterio and Dask☆100Updated 4 years ago
- jupyter/ipython notebooks demonstrating PySAL functionality☆56Updated 2 years ago
- A Python wrapper for the NOAA CO-OPS Tides & Currents Data and Metadata APIs.☆92Updated last year
- ☆35Updated last year
- 🛰📷🌏 Tweeting pictures taken by the Sentinel 2 satellite.☆37Updated 6 years ago
- ☆67Updated 4 years ago