Anne Arundel County

Make a map with MD Counties

This map of Maryland shows census tracts colored by population density using a threshold scale and the d3.schemeOrRd color scheme, with the boundary of Allegany County outlined. A draggable yellow circle, positioned initially at Rockville, displays a tooltip naming the tract under the cursor. Built with D3 v4, it uses d3.geoConicConformal projection, d3.geoPath for rendering, and d3.drag for interaction, loading TopoJSON tract boundaries and population data from a gist.

81% match

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`.

80% match

May 11 Maryland

This interactive map of Maryland highlights population density by census tract, with a draggable marker for Rockville and a small pie chart overlay. The map uses a conic conformal projection and color-coded tracts via a threshold scale, transitioning from light to dark oranges. Census tract boundaries are drawn, while county outlines are merged from tract geometries. The visualization is built with D3 v4, TopoJSON, and d3-scale-chromatic, and displays tooltip and pop-up information on demand.

79% match

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.

79% match

name counties May 6

This map of Maryland shows population density per census tract using a color scale from light to dark red, overlaid with white county boundaries and a draggable yellow circle representing Rockville. Users can drag the circle, which reveals a tooltip displaying the county name beneath the pointer. The visualization uses d3.geoPath with a conic conformal projection, d3.scaleThreshold and d3.schemeOrRd for coloring, topojson for tract boundaries, and d3.drag for the interactive circle. Population data comes from a JSON file, and county FIPS codes from a CSV.

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.

class 12

This choropleth map displays population density for census tracts in Maryland, using a color scale from `d3.scaleThreshold` and the `d3.schemeOrRd` palette. It shows how tract density varies across the state, with darker reds indicating higher densities. The visualization loads GeoJSON and population data via `d3.json` and `d3.queue`, then projects the tracts using `d3.geoConicConformal` and renders them as SVG paths with `d3.geoPath`. Density is calculated by joining population counts with tract land area from the GeoJSON properties.

AAnaMal08

MD Counties Map_Step 1

This choropleth map displays population density for census tracts in Montgomery County, Maryland, using a threshold color scale from light to dark red. It renders SVG paths via `d3.geoPath` with a conic conformal projection, merging TopoJSON tract boundaries from a local dataset. The code loads tract geometries and population data with `d3.queue`, calculates density by dividing population by land area, and applies `d3.scaleThreshold` with `d3.schemeOrRd`. A legend built with `d3.axisBottom` and a power scale explains the color ranges.