the hexagonal binning map

When there are too many dots to read, this counts them into tiles so you can see where they pile up.

What it leaves outChange the size of the tiles and the hot spot can move. Same data, different answer.

3 · geospatial · geo · rung 3 · what’s related

shipped on the platform · HexagonLayer -- no shape yet

Two worked examples

Fifteen hundred dots. Where is the hot spot?

Before you lookWrite down, roughly, where you think the busiest part of the city is.

civichexbin_la_311_2km.csv · 131 rows · 3 columns

the same Los Angeles requests, counted into 2-kilometre tiles

What to look atToo many dots to read, so they are counted into tiles. Now open the 5-kilometre version and see whether the hot spot stays put.

This example draws itself with a small script. With scripting off you can still read every word on this page, and the file itself is at data/hexbin_la_311_2km.csv.

earth and spacedots_quake_epicentres.csv · 2,508 rows · 6 columns · showing 400 of 2,508 rows on this page; the file has all of them

earthquake epicentres, ready to be binned

What to look atBin these and the faults turn into a heat map. Change the tile size and the hottest tile can move — same data, different answer.

This example draws itself with a small script. With scripting off you can still read every word on this page, and the file itself is at data/dots_quake_epicentres.csv.

the pool

Now build one yourself.

The pool opens with this file and this shape already drawn, so your first move is to change something rather than to start from nothing. Bring your own CSV if you have one. Nothing is uploaded anywhere — the chart is drawn in your browser, your work saves there, and it downloads as a picture or as a project file you can open again.

Open the pool → the hexagonal binning map · hexbin_la_311_2km.csv