TP 5: Donnees spatiales test2

TP 5: Donnees spatiales

A choropleth map of French regions displays weekly influenza case counts for 2014. A slider updates the map to show data for each week, with region colors derived from a quantize scale. The visualization uses D3 v3’s `d3.geo.conicConformal` projection and `d3.geo.path` to render GeoJSON regions, while `d3.csv` loads the time-series data and `d3.queue` manages asynchronous file loading.

96% match

TP 5: Donnees spatiales test

This interactive choropleth map displays the weekly incidence of influenza across French administrative regions from 2003 to 2015. A slider lets users navigate through the weeks, updating each region's fill color and the display of the corresponding date. Built with D3.js v3, it uses `d3.json` and `d3.csv` via a queue to load the France GeoJSON topology and the regional flu data, projecting it with `d3.geo.conicConformal` and rendering it with `d3.geo.path`. A quantize color scale maps the range of case counts to a purple-to-green palette.

TP 5: Donnees spatiales

This visualization is a choropleth map of France showing influenza rates across regions for each week. It displays the data through a slider interface that lets viewers step through the weeks, with regions colored on a quantized scale from light to dark. The map is rendered using `d3.geo.conicConformal()` projection and `d3.geo.path()` for the geographic shapes, while the slider uses the `input` event to trigger updates. Data comes from the `GrippeFrance2014.csv` file and the `carteFrance.json` GeoJSON file, which are loaded asynchronously using the `queue()` function.

TP 5: Donnees spatiales

A choropleth map of French regions displays weekly influenza case counts for 2014, with fill colors encoding case numbers and a slider to adjust the displayed week. The visualization loads a GeoJSON file of regional boundaries and a CSV of time-series data, merging them to assign values to each region. Built with D3 v3, it uses `d3.geo.conicConformal` for projection, `d3.geo.path` for rendering, and `d3.scale.quantize` for color mapping. A tooltip shows region names and values on mouse hover.

TP 5: Donnees spatiales

A choropleth map of France displays regional influenza case counts over 52 weeks in 2014, using a quantized color scale. The visualization renders the GeoJSON map with `d3.geo.path` and a conic conformal projection. A slider and week label let the user browse the time series, while a tooltip shows the region name and its weekly value. Data comes from a CSV file loaded with `d3.csv` and `queue`.

TP 4: Donnees spatiales suite

This choropleth map visualizes the geographic distribution of influenza cases across French regions for five weeks in late 2014. The colors, ranging from light purple to dark green, represent the cumulative number of cases per region for that period. Hovering over a region reveals its name and total case count. The map uses `d3.geo.conicConformal()` for projection and `d3.geo.path()` to render geographic boundaries from `carteFrance.json`. Data from `GrippeFrance2014.csv` is merged with the GeoJSON features, and a quantized color scale maps the summed values to the fill colors.

92% match

TP 4: Donnees spatiales suite

This choropleth map of France visualizes regional influenza case counts for a five-week period in late 2014, using a color scale ranging from light purple to dark green. The map is built with d3.v3, using the `d3.geo.conicConformal` projection and `d3.geo.path` to render GeoJSON boundaries from `carteFrance.json`. Regional values from `GrippeFrance2014.csv` are summed and joined to the geographic features, with missing data shown in gray.

91% match

TP 4: Donnees spatiales suite