Sample Point for Mapping Berlin

Sample Berlin Point

This example maps a single point from a GeoJSON file, representing the Berlin Chancellary, onto a map. The visualization displays the point’s coordinates and associated properties, including a marker symbol, color, and an embedded image with a caption. The code uses d3.geoPath to render geographic features and relies on the GeoJSON data structure to define the point’s location and metadata. The marker is styled using the properties for size, color, and symbol, while the image is presented as an HTML string within the data. The source is a gist authored by CliffordAnderson, with the point data drawn from the Spring 2015 series and a 1970 tour reference.

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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 9af806e8acc168aa10c06099d668b711

This example presents an interactive map of historical Berlin locations from 1947, using GeoJSON point features to mark sites like the Synagogue Fasanenstrasse and Charlottenburg Gate. Each marker opens a popup with period photographs and captions, rendered through a Mapbox-like interface. The visualization relies on a custom marker system with symbol and color properties, while the underlying tour.json data drives the geographic placement and content. The implementation uses standard web mapping libraries to handle GeoJSON rendering and marker interactions, showing how archival image collections can be geolocated and explored.

Gist cd9f60b16fb12aa5693b

This example visualizes a geolocated point on a Berlin map, showing the Poststadion Football Complex with an interactive marker. The code uses d3.geoPath to render the map geometry and a custom point layer for the marker, with properties like marker-color and marker-symbol styled via SVG. The visualization embeds a popup containing three images—two photographs and a YouTube video—accessed through HTML strings in the feature properties. It relies on the GeoJSON format for data storage and d3.forceSimulation for potential layout adjustments, though the primary rendering uses standard D3 projection and path methods.

Sample points for Mapping Berlin

This example maps Vanderbilt University as a single point using GeoJSON, displaying the campus location over Nashville. It renders the geometry with `d3.geoPath` and overlays the point, while the code loads the feature properties to show university details. The visualization contrasts the structured GeoJSON format against a simpler JSON version, using D3’s projection and path APIs to draw the geographic context. The dataset source is a gist, and the example focuses on demonstrating point-based mapping with minimal, illustrative data.

Adding a Point to your Map of Berlin

This example demonstrates a clickable map of Berlin with photographic markers. It shows how to add a new point by finding a Creative Commons image with EXIF location data, converting the coordinates, and inserting a GeoJSON feature into an existing collection. The visualization uses Leaflet to render the map and markers, with embedded HTML in the GeoJSON properties to display images and captions in popups. The data source is a hand-edited GeoJSON file containing multiple points of interest, each with associated media and descriptions.

Gist 73100dba40164b493edf7af63649a498

This map shows a guided tour of Berlin in 1947, with markers placed at historical sites like the Fasanenstrasse Synagogue and Charlottenburg Gate. Each marker includes photographic images and descriptive text retrieved from the GeoJSON data. The visualization uses d3.geoPath to render the map and d3.forceSimulation to position the markers, with the tour data loaded from a local JSON file.

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Hans Rathenau Haus

This example shows a single point-of-interest marker for the Hans Rathenau Haus at Koenigsallee 65 in Wilmersdorf, part of a Spring 2016 tour series. The visualization places a large black danger-symbol marker on a map using the GeoJSON coordinates (13.8170804, 52.4238153). It relies on Leaflet or Mapbox GL JS to render the GeoJSON feature, applying the marker’s size, color, and symbol properties from the feature’s properties object. The code uses standard GeoJSON rendering rather than custom D3 force or canvas operations, keeping the display simple and location-focused.