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1. ArcGIS_PRO_Prioritizing-the-areas-for-tree-planting-based-on-Heat-Risk-Index-in-the-city-of-Brno ArcGIS_PRO_Prioritizing-the-areas-for-tree-planting-based-on-Heat-Risk-Index-in-the-city-of-Brno Public

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2. ArcGIS_PRO_GIS-for-monitoring-land-cover-changes-based-on-Rondonia-Brazil-example ArcGIS_PRO_GIS-for-monitoring-land-cover-changes-based-on-Rondonia-Brazil-example Public

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3. Calculating-spatial-autocorrelation-of-income-pySAL-esda-geopandas Calculating-spatial-autocorrelation-of-income-pySAL-esda-geopandas Public

   Calculating global and local spatial autocorrelation of income noted per each polish county in 2022 based on Moran's I and LISA statistics. Calculations were conducted using the following packages:…

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4. Clustering-geodemographic_classification_of_NYC_using_K-means_geopandas_sklearn Clustering-geodemographic_classification_of_NYC_using_K-means_geopandas_sklearn Public

   Conducting geodemographic classification for ethnic groups in NYC using K-means algorithm available in sklearn.cluster module.

   Jupyter Notebook 1

5. Analysing-UK-crime-data-with-geopandas Analysing-UK-crime-data-with-geopandas Public

   Analysing UK crime data available on https://data.police.uk/data/ in West Midlands using geopandas

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6. Analysing-weather-station-data-with-pandas Analysing-weather-station-data-with-pandas Public

   Exploring weather station data available on https://www.ncdc.noaa.gov/cdo-web/datasets using pandas

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