Marcelina Kupisiewicz (mkupisie)

mkupisie

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Company:Swiss Re

Location:Bratislava

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Marcelina Kupisiewicz's repositories

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

Detecting and visualizing land cover change using ArcGIS Pro in the Brazil state Rondonia between year 2020 and 1992.

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

Prioritizing the areas for tree planting to help decrease the effect of extreme heat based on Heat Risk Index in the city of Brno using ArcGIS Pro.

Analysing-UK-crime-data-with-geopandas

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

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Analysing-weather-station-data-with-pandas

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

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Calculating-spatial-autocorrelation-of-income-pySAL-esda-geopandas

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: pySAL, splot.esda, geopandas.

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Clustering-geodemographic_classification_of_NYC_using_K-means_geopandas_sklearn

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

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Creating-split-map-with-open-maxar-data-using-leafmap

Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.

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Finding-the-shortest-path-using-pandas-and-OSM

Finding the shortest cycling path between starting point and endpoint using OSMnx's graph_from_place()

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Flood_Return_Period_Analysis_A_Case_Study_of_a_Polish_Region

Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.

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