GeoJson Experiments

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GeoJson Experiments

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Last edited Mar 20, 2014

Created on Mar 20, 2014

This example shows a single GeoJSON point feature, labeled "Dinagat Islands," placed at coordinates [125.6, 10.1] on an interactive Mapbox map. The map uses the Mapbox.js library with a tile basemap, and the feature layer is populated directly from inline GeoJSON data via `setGeoJSON`. The view is centered on the point at zoom level 6. The code demonstrates minimal setup for rendering geographic features without additional interaction or styling, relying on Mapbox’s built-in rendering pipeline.

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GeoJson Experiments

This example displays a minimal GeoJSON feature collection on an interactive slippy map. It renders a point for Dinagat Islands, a point for Singapore, and a line string connecting their coordinates. The map is built with Mapbox.js version 1.6.2, and the GeoJSON data is loaded directly into the map’s `featureLayer.setGeoJSON` method. The visualization demonstrates basic point and line geometry placement over a raster tile background, with the view initially centered on the first coordinate at zoom level five.

CCliffordAnderson

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Gist 903d72011a7b4d0c0266d0a6a1b3100e

This example displays a single GeoJSON Point feature representing Dinagat Islands at coordinates [125.6, 10.1]. A minimal point.geojson file defines the geometry and a name property. The visualization relies on d3.geoPath to render the geographic coordinate onto a map projection, demonstrating a static point placement without additional interaction or data transformation.

CCliffordAnderson

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GeoJSON Experiments

This example displays a GeoJSON dataset as point features on an interactive Mapbox map. It fetches data dynamically from a CouchDB instance using jQuery’s `$.getJSON` method and passes the resulting GeoJSON object directly into the map’s `featureLayer.setGeoJSON` function. The map is initialized with Mapbox.js and positioned over the Philippines at zoom level 5. The code relies on the Mapbox.js and jQuery libraries to combine external geographic data with a tiled base map.

CCliffordAnderson

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Gist 54a4da81bb77308303fc5537ac587fe5

This example creates a minimal map visualization using a single GeoJSON Point feature representing the Dinagat Islands, positioned at coordinates (-86.8098, 36.1442). It first renders the point’s geometry using `d3.geoPath` and a standard geographic projection, then applies `d3.forceSimulation` to animate the point’s position, demonstrating how a fixed geographic coordinate can be displaced by a force-directed layout. The code uses both Canvas and SVG elements, with the simulation updating the point’s screen location each tick while the underlying projection remains static.

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GeoJSON Experiments

This example displays geographic data on an interactive Mapbox map, using the Mapbox.js library and a full-screen map div. It fetches GeoJSON data from a CouchDB view via a jQuery `$.getJSON` call, then loads the returned feature collection into the map’s `featureLayer` with `setGeoJSON`. The map is initialized with `L.mapbox.map` and centered on coordinates (10.1, 125.6) at zoom level 5, showing how dynamic GeoJSON can be rendered on a tiled basemap.

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Single Feature

This example shows a single GeoJSON point feature derived from a biodiversity occurrence record, with its geographic coordinates and a linked identifier exposed as properties. The code constructs the feature by first querying the Global Biodiversity Information Facility (GBIF) API with a specific occurrence ID, then parsing the returned JSON to extract the latitude, longitude, and record identifier. Using the XQuery `map` syntax, it assembles a standard GeoJSON object with a Point geometry and a `name` property. The visualization relies on HTTP retrieval via `fetch:text` and JSON parsing via `fn:parse-json`, with no external charting library; the output is intended for a map renderer that consumes GeoJSON.

CCliffordAnderson

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test

This example visualizes a single point feature from a GeoJSON file, marking the location of Friedrichstraße in Berlin. The map uses D3’s `d3.geoPath` to render geographic outlines, while the point itself is drawn with SVG markers. The feature’s properties include an image carousel with historical photos, toggled by user interaction. The code relies on D3’s data binding and event handling to update the displayed images, and the geographic coordinates are parsed from string values in the GeoJSON. The rendering approach uses a standard Canvas or SVG projection, though the specific projection library is not shown. The source is a gist by CliffordAnderson, with data embedded directly in the file.

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Gist 10676346

This map displays labeled points from a GeoJSON file, plotting locations like "Internet Archive," "China," and "New York" at their geographic coordinates. The visualization likely renders a large-scale point cloud, with overlapping labels suggesting a messy or aggregated dataset. Using a mapping library, likely D3.js with `d3.geoPath` for drawing map features and standard SVG or Canvas techniques for placing text labels, the code creates a simple geographical scatter plot. The rendering emphasizes the spatial distribution of these named places across the globe.

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