Andrew Zolnai map catalog

Happy New Year! Don't you think that 175 blog posts and almost 150,000 page views over 7.5 years merit a catalog of my maps? This also coincides with my first end-to-end project:

1. collect on the desktop
2. disseminate and receive feedback via social media
3. post as a webmap on private AWS account

Releasing data really works, Part V

It took five days (after hours) to stand up, learn, tweak and display my East Anglia Fenlands project on Mapcentia's web service. It started with a GISuser group post on LinkedIn on Monday, I used my Amazon Web Service free EC2 trial and GeoCloud2 under beta, and by Friday I had it working and styled. No small thanks to Martin Hogh's original work and help, the result is a simple yet modern and pleasing web map.

Free Petroleum Geodata

Here are some free datasets useful for petroleum mapping. Links didn't transfer in SlideShare so here they are:
AAPG GIS Open Files

Around the world in 30 maps

[Update 2: this map gallery is now the first pane of my personal portfolio]
[Update 1: Apple iOS doesn't support Flash, please try this old link instead]

I revamped my blog to make its header more engaging. I replaced the static image I changed from time to time, with a map gallery. It comes from a Flickr slide show of maps I have collected over time, posted in chronological order. Although each screenshot is captioned and tagged in Flickr, here is the text in the same order:

Releasing data really works! Part IV

[Update: this was summarised into a story map here posted also on this blog here]

Two years then one year ago I QC'd UK Ordnance Survey data for East Anglia, and sent the polyline spike and kickback errors to the Agency, who posted the corrections this year. They noted the errors I reported fell below their own QC criteria, but they invited me to retest their updated dataset. This issue is topical as  posted on GISlounge on the same topic proposing other tools.

Releasing data really works, Part III

More and more free data are available that are quality-controlled and verifiable. Guardian Data Blog's @smfrogers (now at Twitter) was quite sanguine about this:

Comment is free, but facts are sacred

To Geo or not to Geo, that is the question...

... at least in oil&gas. I always wondered why petroleum was only 5% Esri's market (unofficial from my tenure as petroleum manager there, they publish no figures as a private company). A current rationalization project at an oil major hinted why - I've 'pushed Geo' for 25 yrs. so I saw that in my previous tenure at Halliburton, but that only crystallized later - whilst a large percentage of data has a spatial component in oil&gas, only a small part of it is stored in spatial databases. GIS are generally for surface infrastructure like geology, plants and pipelines, rather than for subsurface exploration and production. Surface data can actually be seen and measured directly on or near the ground, whereas subsurface are interpolated data from drilling and seismic deep in the subsurface. Indeed the challenges in oil exploration in the news of late revolve around this frontier.

A tale of two cities: web maps new and old

Last I posted on vector online GIS, and that appears to be gaining traction. Mapbox offers through TileMill and OpenStreetMaps editing. These are new an emerging technologies that are exciting, and it contrasts with Esri who offers a slew of tools on the desktop and in arcgis.com. WMS is for example still immature on giscloud.com (though it is OGC compliant now), as are the symbology and labels. They do not offer model builder like Esri or Qgis (thru Sextante). But they do offer a service to process GIS functions online and allow to load data direct from web source, avoiding costly down- & up-loads. Here I compare how I used a 180K vector dataset from NOAA NGDC described previously.

Vectors are your friend, Part II (updated)

[Update: ESRI blog post here for clear explanation and treatment of same, thanks Eileen Buckley! See also my ArcGIS Online / Amazon Web Services update at bottom...]

Following on my previous post about giscloud.com posting vector maps directly on-line in HTML5, I loaded NOAA's GSHHG - A Global Self-consistent, Hierarchical, High-resolution Geography Database in its entirety. You must be crazy, you say, to load a 425 Mb dataset on line! But here is the workflow:

RSPB2013 bird counts mapped

Releasing data really works, Continued

RSPB 2013 Big Garden Bird Watch released data by county, listing bird counts for each county in order of abundance. Why not then transpose these into one row of bird types (73) per recorded county (96, excl. N Ireland):