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Geospatial Analytics Made Easy

Geospatial Analytics Made Easy With KNIME

This example is a collection of basic geospatial tasks such as computing and visualizing data on a map.
This workflow was demonstrated during the Geospatial Analytics Made Easy With KNIME webinar.

Visualizing a Location on a Map1. Using coordinates (lat/lon) >> Point2. Using a place name >> (Multi-)Polygon (Boundary)3. Getting a point object from a (Multi-)Polygon >> Point Visualize City vs. Country Population1. Layer: Countries colored by population2. Layer: Capitals represented by population get boundary object for each country 1. Using coordinates (lat/lon) => Point object 2. Using a place name => Boundary object - (Multi-)Polygon 3. Using a representative point => Point object Different Projections: epsg: 4326 vs. epsg: 3857 place name:Cambridge, MA, USAlat/lon ofCambridge, MA, USACoordinates of CambridgeCoordinates of Cambridgekeep onlylat/lon columnBoundary of Cambridgeread dataget country boundarieskeep onlygeometry columnadd country name & country populationcountries & citiesby populationdefine bufferdistancetoepsg:3857epsg:3857Node 1912countries & citiesby populationcountries bypopulationcapital citiesby populationRepesentative vs. Centroidplace name:Cambridge, MA, USAepsg:4326 vs. epsg: 3857 OSM Boundary Map Table Creator Lat/Lon to Geometry Geospatial View Geospatial View Column Filter Lat/Lon to Geometry Geospatial View CSV Reader Table Row ToVariable Loop Start OSM Boundary Map Loop End Column Filter Joiner Geospatial View Lat/Lon to Geometry Math Formula Projection Concatenate Table Manipulator Projection Concatenate Geospatial View Create Buffer Areadepending on Population Missing Value Geospatial View Geospatial View Geospatial View Centroid vs.Representative Point OSM Boundary Map Geospatial View epsg:4326 vs.epsg:3857 Visualizing a Location on a Map1. Using coordinates (lat/lon) >> Point2. Using a place name >> (Multi-)Polygon (Boundary)3. Getting a point object from a (Multi-)Polygon >> Point Visualize City vs. Country Population1. Layer: Countries colored by population2. Layer: Capitals represented by population get boundary object for each country 1. Using coordinates (lat/lon) => Point object 2. Using a place name => Boundary object - (Multi-)Polygon 3. Using a representative point => Point object Different Projections: epsg: 4326 vs. epsg: 3857 place name:Cambridge, MA, USAlat/lon ofCambridge, MA, USACoordinates of CambridgeCoordinates of Cambridgekeep onlylat/lon columnBoundary of Cambridgeread dataget country boundarieskeep onlygeometry columnadd country name & country populationcountries & citiesby populationdefine bufferdistancetoepsg:3857epsg:3857Node 1912countries & citiesby populationcountries bypopulationcapital citiesby populationRepesentative vs. Centroidplace name:Cambridge, MA, USAepsg:4326 vs. epsg: 3857 OSM Boundary Map Table Creator Lat/Lon to Geometry Geospatial View Geospatial View Column Filter Lat/Lon to Geometry Geospatial View CSV Reader Table Row ToVariable Loop Start OSM Boundary Map Loop End Column Filter Joiner Geospatial View Lat/Lon to Geometry Math Formula Projection Concatenate Table Manipulator Projection Concatenate Geospatial View Create Buffer Areadepending on Population Missing Value Geospatial View Geospatial View Geospatial View Centroid vs.Representative Point OSM Boundary Map Geospatial View epsg:4326 vs.epsg:3857

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: elisabeth.richter
Created at: 2023-04-03
On NodePit since: 2023-04-14
Last update: 2024-12-21
Created with KNIME version: v4.7.2
Tags: GeospatialGeospatial AnalyticsVisualizationMap

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