Final Project Map

100%

Final Project Map

✓ Published0🌍 Public

Last edited May 18, 2017

Created on May 18, 2017

This choropleth map displays population density for Maryland census tracts, with county boundaries overlaid in white. A pie chart in the corner visualizes additional data, while a tooltip shows geographic coordinates as the mouse moves. The visualization uses D3 v4 with `d3.geoConicConformal` projection, `d3.geoPath`, `d3.scaleThreshold` with the `d3.schemeOrRd` color scale, and `d3.pie` for the chart. Data comes from TopoJSON tract geometries, CSV population files, and a FIPS county list loaded via `d3.queue`.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

Final Project Map

This choropleth map displays population density for Maryland census tracts, with counties outlined in white and Rockville marked by a yellow circle. Built with D3 v4, it uses `d3.geoConicConformal` projection, `d3.geoPath`, and TopoJSON to render tract boundaries and county merges. A `d3.scaleThreshold` with the `d3.schemeOrRd` color ramp encodes density, while a tooltip shows county names and an interactive circle supports dragging. Population data comes from a JSON file, with tract areas calculated from `ALAND` in square miles.

MMTClass

93% match

Loading thumbnail…

Final Project Map

This map visualizes population density across Maryland’s census tracts and counties, using a color scale from d3-scale-chromatic to show density values. The map also includes a draggable yellow circle marking Rockville, MD, whose position can be moved via d3.drag. The visualization loads TopoJSON tract boundaries and a separate population JSON, merges tracts into county outlines with topojson.merge, and projects the geometry using d3.geoConicConformal with fitSize. A tooltip shows coordinates on mousemove, while the SVG rendering relies on d3.geoPath and d3.queue.

MMTClass

91% match

Loading thumbnail…

Final Project Map

This interactive map visualizes population density across Maryland census tracts and counties, with a draggable circle marker highlighting Rockville. Using D3 v4 and TopoJSON, the code employs a conic conformal projection (`d3.geoConicConformal`) and `d3.geoPath` to render tract boundaries colored via `d3.scaleThreshold` and the `d3.schemeOrRd` color scheme. County outlines are merged from tract geometries, while mouse position is converted to geographic coordinates using `projection.invert`. The map includes a tooltip div and an info readout for cursor location.

MMTClass

90% match

Loading thumbnail…

md-geometry

This visualization shows population density across Maryland census tracts using a choropleth map. The color scale maps density values to an orange-red sequential palette, with darker shades indicating higher population per square mile. Built with D3 v4, it loads TopoJSON tract boundaries and CSV population data, joins them by county and tract FIPS codes, and calculates density by dividing population by land area in square miles. The `d3.geoConicConformal` projection fits the state geometry using `projection.fitSize`, and `d3.geoPath` renders the SVG paths with `d3.scaleThreshold` for coloring.

MMTClass

89% match

Loading thumbnail…

MD Counties Map

This choropleth map displays the population density of Maryland census tracts using a sequential color scale. The visualization loads GeoJSON and population data from external URLs, then uses the `topojson` library to convert the data before rendering it as SVG paths projected with `d3.geoConicConformal` and `d3.geoPath`. A draggable circle allows hovering to query tract attributes, and a legend with thresholds is generated using `d3.scaleThreshold`, `d3.scalePow`, and `d3.axisBottom`.

MMTClass

89% match

Loading thumbnail…

MD Counties 4

An interactive choropleth map of Maryland counties displays population density using a sequential color scale, with hover effects revealing county details. A donut chart in the corner dynamically updates to show population, land area, and density proportions for the selected county. Built with D3 v4, the visualization uses `d3.geoConicConformal` for projection, `d3.geoPath` for rendering shapes, and `d3.pie`/`d3.arc` for the chart. Population data is sourced from JSON files, while county boundaries come from TopoJSON.

MMTClass

88% match

Loading thumbnail…

May 5

This visualization displays population density across Maryland census tracts using a choropleth map, with color thresholds from d3.scaleThreshold and d3.schemeOrRd. It renders SVG paths via d3.geoPath with a geoConicConformal projection, loading TopoJSON census tract boundaries and a population dataset through d3.queue. County outlines are drawn from merged geometries. A draggable yellow circle marks Rockville, repositioning via d3.drag, while hovering shows the county name in a tooltip using d3.geoContains to test point-in-polygon.

MMTClass

88% match

Loading thumbnail…

May 8 test

This choropleth map of Maryland census tracts visualizes population density using a color scale based on D3’s `d3.scaleThreshold` and `d3.schemeOrRd`. Tract boundaries are drawn with `d3.geoPath` and a conic conformal projection, while county outlines are generated via `topojson.merge`. A yellow draggable circle, positioned over Rockville, uses D3’s drag behavior to update a tooltip that displays the county name under the cursor. Population data comes from a JSON file joined to tract features by FIPS codes.

MMTClass

87% match