PIXELOKAY DATA LAB / GEO VISUALIZATION

Heatmap & Geographic Analytics Studio

Discover where your data concentrates. Import coordinates, compare geographic values, switch visualizations, and create presentation-ready maps—all within your browser.

◉ Weighted heatmaps◇ CSV & GeoJSON↧ Local map exports
◉
Geographic workspaceIllustrative demo · data stays in this browser tab
Visible observations—
Total value—
Average value—
Value range—
Map explorerWeighted intensity · higher density appears warmer
1.2×
N ↑
Offline Natural Earth land · WGS84
Lower intensityHigher intensity
0100
Lon — · Lat —Ready · drag to pan
Observations0 visible
Showing first 60
Coordinates: longitude, latitude (WGS84 / RFC 7946) · approximate Web Mercator viewExample project · unsaved

From raw locations to compelling maps

01 / IMPORT

Bring your own data

Upload coordinate CSV or GeoJSON. The editor validates coordinates, filters malformed rows and preserves data for structured exports.

02 / ANALYZE

Explore the distribution

Choose weighted heatmaps, proportional circles, hexagonal aggregates, individual observations or valued polygons. Filter by category and numeric range.

03 / SHARE

Export with context

Produce high-resolution PNG maps, CSV, GeoJSON, editable project JSON and a Markdown or printable analysis summary.

Frequently asked questions

Does the map work offline?

Yes after the tool is loaded. Its simplified Natural Earth land outline is bundled and the visualizations run in the browser. It does not fetch online map tiles.

What columns should a CSV contain?

Include latitude and longitude columns. Add value or weight for weighted analysis, plus optional name and category columns. Without a value field, each point receives a weight of 1.

Can I import geographic polygons?

Yes. Valued GeoJSON Polygon and MultiPolygon features can be displayed with a color scale. Polygon data must already contain its geometry; the studio does not geocode administrative names or join external boundary datasets.

Are these heatmaps suitable for scientific inference?

They are exploratory visualizations. Kernel size, zoom, sampling density and data collection bias affect appearance. They do not measure causality, population-adjusted risk or statistically significant clusters.

Go to coordinates

WGS84 decimal degrees. Longitude first, latitude second.

Using Heatmap & Geographic Analytics Studio

Import supported coordinate data, select a visualization and inspect values/categories. Adjust the map view and color scale, review descriptive statistics and export filtered observations or a map/report. Save editable JSON to preserve data and settings.

Heat smoothing, screen-space hexes and apparent hotspots depend on zoom/radius; they are not statistical hotspot inference. Polygon colors are not population/area-normalized. Only supported WGS84 point/polygon geometry and nonnegative values are accepted; no geocoding, CRS transformation, lines or raster layers. Data/file/vertex/output limits apply, and exports can contain sensitive locations.

Workflow and output choices for Heatmap & Geographic Analytics Studio

Import supported WGS84 point or polygon data, filter observations and compare descriptive heat, point, circle, hex or choropleth views on the bundled local outline.

CSV or GeoJSON supplies supported coordinates; project JSON keeps data and map settings. Filtered observations and map/report exports can expose sensitive location data, so inspect them before sharing.

Example workflow

  1. Load a small coordinate CSV or GeoJSON file and check the recognized geometry and value fields.
  2. Choose a visualization, apply a filter and adjust the view or color scale to compare the displayed pattern.
  3. Review descriptive statistics and export only the needed rows or map/report; keep project JSON if you need the settings later.

Authored example: Use a fictional CSV of non-sensitive sample coordinates and nonnegative values. Compare a heat view with a hex view at two zoom levels; this illustrates display choices, not statistical hotspot detection.

Limits and handling: Supported input is bounded WGS84 point and polygon geometry with nonnegative values. No geocoding, CRS transformation, lines or raster layers are included. Apparent hotspots depend on zoom, radius and sampling; polygon colors are not normalized by population or area.

Heatmap & Geographic Analytics Studio questions

Does a bright heatmap identify statistically significant hotspots?

No. The display depends on zoom, radius and sampling and is not statistical hotspot inference.

Can I import projected coordinates or road lines?

No. The supported input is limited to WGS84 points and polygons; CRS transformation and line geometry are not included.

Related tools