GeoFile Reader
This node reads a single geospatial file from the provided local file path or URL. Learn more
Collection
KNIME for Geospatial Analysis
Harvard’s Center for Geographic Analysis (CGA) and KNIME have teamed up to enable non-expert users to unlock the potential of geospatial data by accessing, blending, and analyzing it through a no-code environment. In this collection page, you can find resources to start this journey.
A practitioner’s guide to geospatial analytics
This guide covers an overview of geospatial basics as well as how to best leverage KNIME’s geospatial analysis extension.
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Data Access
To begin the process of geospatial analysis, you must first incorporate the information into a KNIME workflow.
Geospatial Files
KNIME provides reader nodes to read different file formats, such as Shapefile, GeoJSON, KML, and Geopackage files. You can find helpful examples of workflows in this section that will assist you in performing data access tasks.
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Our goal is to create a Geopackage file containing the different inputs as layers and visualize the input data.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial IO > Reading Geo Files
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The main goal of this workflow is to show how a user can create a GeoPackage with more than one layer.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial IO > Create a Multi Layer Geopackage File
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Other files with geospatial data
The following nodes allow you to work with non-geospatial data files such as CSV or Parquet that contain geospatial information (like longitude/latitude, a WKT, or GeoJSON string).
Open Data
KNIME allows for easy geospatial data input through open dataset nodes, which retrieve information from services such as OpenStreetMap and the US Census Bureau. Please refer to the related nodes and workflow examples provided below.
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We aim to determine the population´s unemployment rate near Seattle schools by utilizing the available Open Datasets nodes.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Open Datasets > US2020 Sources
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This workflow uses the Boundary Map and POIs (Point of Interest) node to build a map of the Tacoma International Airport (WA, USA…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Open Datasets > Open Street Map
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Processing
If you have geospatial data in a KNIME workflow, you may need to format it. This could involve aligning the coordinate reference system or simplifying complex polygons.
Transformation
With KNIME transformation nodes, you can convert geospatial objects to various data types. Take a look at the available nodes for transformation operations and check out some sample workflows.
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The workflow aims to mark significant wildfires (more than 100 acres impacted) in Washington state since 1973 by plotting them as…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Geometry to Point
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Choosing the proper projection is critical for geospatial analysis. This workflow uses different CRS to show Washington state bou…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Geospatial Projection
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This workflow conducts a comprehensive competitive analysis of King County, WA, farmer markets.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Polygon to Line
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We show how different projection methods affect geospatial visualization by connecting two points to create a distance line betwe…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Geospatial Projection II
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The workflow utilizes Seattle bike data to generate a comprehensive and visually appealing geo-visualization of the city's bi…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Points to Line
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This example workflow demonstrates the effect of a chosen projection on the computation of the area of the projected geospatial o…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Projection and Area Computation
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This example displays the different ways to convert from geometry > point, points > line, line > multipoint, or polygon > line.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Transformation > Vector Type Conversion
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Calculation
KNIME allows for geospatial calculations, including bounding box and coordinate extraction. Use an equal-area projection with the appropriate node for area or length calculations. You may also want to check out related example workflows that can serve as blueprints to help you get started.
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The KNIME workflow processes geospatial data of fires reported in Washington state since 2008. The main objective is to create a …
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Calculation > Bounding Box VS Convex Hull
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Our goal is to calculate the county´s area in Washington and determine the population density per square kilometre.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Calculation > Calculate Area
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We aim to calculate the length of the security fence surrounding public playgrounds in Seattle using a dataset containing informa…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Calculation > Calculate Length
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This example starts with the specification of a coordingate (lat/lon) and a buffer radius.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Calculation > Bounding Box VS Convex Hull II
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Manipulation
Use manipulation nodes to perform operations like computing a buffer around a geospatial object or joining objects based on distance or relationship. For geometric set operations, use the Overlay node. To simplify complex polygons, try the Simplify node. Additionally, we have included relevant workflow examples in this section.
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Based on our analysis of trip data, we have identified the top five bike stations in Seattle City. We are currently investigating…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Manipulation > Buffer and Spatial Join (POI search)
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The following workflow outlines the process of generating multiple ring buffers around the three airports in Seattle.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Manipulation > Multiple Ring Buffer
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Spatial Join vs. Nearest JoinThis example shows the different results of spatial vs. nearest joins. It uses OSM POIs and joins th…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Manipulation > Spatial Join vs. Nearest Join
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We plan to bike to Seattle´s Space Needle and St. James Cathedral. We´re looking for the nearest bike stations where we can pick …
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Manipulation > Nearest Join
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Analysis
The geospatial extension offers various nodes to help with exploring spatial data, location analysis, and spatial modeling.
Spatial Network
The spatial network nodes allow you to perform for drive time analysis such as creating isochrone maps or drive time distance matrices.
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This workflow analyzes data about restaurants in Seattle to determine the optimal location for opening a new restaurant, consider…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Network > Spatial Network Nodes for Drive Time
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Exploratory Analysis
These nodes can calculate spatial auto-correlations and identify hot spots in data.
Modelling
To get more information about spatial relationships between geospatial objects, you can use the various spatial modeling nodes.
Location Analysis
For efficient distribution of goods or services, location analysis helps find the best spot for warehouses or hospitals.
Visualization
KNIME provides various visualization nodes for different use cases, from a highly customizable Geospatial View Static for reports to the highly interactive Kepler.gl Geoview node or the specialized Spatial Heatmap node. But to get started, we recommend the versatile Geospatial View.
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This workflow aims to create a map of Seattle that shows different socioeconomic features by tract.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Visualization > Choropleth Map
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This workflow generates a straightforward geospatial visualization highlighting locations within the city where chemicals (for th…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Visualization > Geospacial View (Simple)
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We aim to map out fires over one hundred acres in the Washington state region to gain insight into the areas most affected by wil…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Visualization > Geospatial Heatmap
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This workflow is designed to analyze earthquake data in California and generate a Kepler view for visual exploration.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Visualization > Geospatial Time Series
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Our objective is to develop a multilayer geospatial visualization. We utilize the coordinates of Seattle´s elementary schools and…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Geospatial Analytics for Beginners > Spatial Visualization > Geospatial View Multi Layer
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Use Cases
Geospatial analytics can be applied in various industries, such as life sciences and financial services. Here are some common use cases that utilize KNIME geospatial analytics capabilities.
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Workflow
Geospatial Impact Analysis of Hurricane Ian on Tweet Sentiment
In this example, we want to visualize the impact that the Hurricane had in terms of sentiment of Twitter tweets in different dist…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Impact Analysis
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In this example, we want to search near a certain location for points of interest such as churches, schools, resturants, shops, p…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > POI Search
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In this straightforward example, we perform a typical geospatial analysis: Site Selection.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Site Selection
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In this example, we want to visualize the impact that the Hurricane had in terms of sentiment of Twitter tweets over time around …
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Time Travelling
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Workflow
Geospatial Allocation based on Vaccine Distribution
In this example, we want to find the 5 hospitals out of all available hospitals that can distribute a vaccine the most efficient …
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Vaccine Distribution
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This workflow visualizes the world population of 2021 as a choropleth map using different projections.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Choropleth Map of World Population
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In this example, we want to visually represent the population distribution by ethnic identification in the city of New York.
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > Population Distribution Visualization
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This workflow in the component builds an interoperable dashboard of aggregating POI of Open Street Map with grids by using OSM PO…
Center for Geographic Analysis at Harvard University > Geospatial Analytics Examples > OSM Dashboard
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Learning Material
This section includes blog posts, a comprehensive guide to beginning your geospatial analytics and KNIME journey, related articles, and instructional videos.