Friday, 16 March 2018

"Qui peut le plus, peut le moins" or "Horses for courses"

These quips mean that, while we may have great tools for complex workflows, such as Mapping Well Data I'll present as AAPG Visiting Geoscientist in Hungary next month, sometimes it's better to pare it down to its simplest form, such as for a friend "looking to map addresses to [a French geographic subdivision]".

Full meal deal

This petroleum workflow (step-by-step here) is common to day-to-day operations: download unformatted well data, load it into a petrodata standard format, and post on a map &/or on the web with attendant infrastructure:

[Click all images to enlarge]


And load:


The address workflow consisted of spotting points handed as a CSV file, within a perimeter handed as a JSON file. My friend has no geodata tools and looked at it as a Big Data exercise: The sample has thousands and hundreds of address and perimeter points, respectively, but the study area may have an order of magnitude or two more... like my Tall ships historic weather map at local scale!

Address file to GIS:

Convert JSON file:

Perimeter & intersect:

Overlay and output:

"Ben Franklin"

That's when two item lists to compare, are shown against relevant criteria (a variant is to have one item list, shown against pros & cons). Reading cadastral files from can be done with professional tools like in the first exercise.

The point here, however, is a lowest-barrier-to-entry for geo-processing, which is but a means to an end...

And there may be other tools, say R and Python to do that directly, but then again that's another skillset business users may/not have:

"Look before you leap"

The reason I teamed up with LINQ, is to provide a listen-and-process tool, from which will cascade the workflows then, and only then the tools. These are two examples from the top and the bottom range of the tech stack to meet specific day-to-day business operational needs.

Note: the petroleum workflow is widely posted, and available under Creative Commons. The address workflow is not, as suggested by the anonymised illustrations.

Friday, 2 March 2018

Development of Spatial Grids and...

The Association for Geographic Information Geocom2017 gathered at the Geographical Society in London late last October. Its Lightning Talks showcased new ideas and businesses. I was invited there to challenge attendees "to think about the development of spatial grids and the structure of spatial data models". The presentation itself and thank-you letter were followed by a short report in GIS Professional scanned here:

Tuesday, 20 February 2018

GDPR revisited

I already wrote about GDPR from the perspective of helping users get started with using Mind Maps. The presentation wraps up with further help from LINQ I partnered with.

Thursday, 18 January 2018

My adventure with Storm Fionn

As Storm Fionn wrought chaos in England and Cambridge, here's my adventure in returning a rental car this morning.

Saturday, 23 December 2017

Mind maps for GDPR

[Update: see a revisit of this topic]

General Data Protection Regulation will come to European Union five months from Christmas! You will have read of it no doubt, if not, links are in presentation below: Up to Slide 10 is a simple set of tools - mind maps - to get started on this complex process; after that is a suggestion for further help.

Tuesday, 12 December 2017

Vectors are your friend, Part III

Esri just updated its World Vector Basemaps (v.2). I updated below the notoriously complex and details Aalan Archipelago offshore Turku, Finland. I contrasted in this blog 4½ years ago posting the GSHHG world vector dataset in, a web vector mapping system, and ArcGIS Online, richer in data but then in raster. See an OpenStreetMap backdrop earlier in my companion blog.

Monday, 11 December 2017

GeoHipster Calendar: 2018

This is my third Calendar entry from the most excellent Geohipster spearheaded by @atanas@billdollins and @gletham - the inaugural 2014 and the 2015 can be seen here - I missed last year but I told them:

Tuesday, 26 September 2017

Free tools & data to predict hurricanes

Four weeks ago I blogged here about the availability of open data, posting it on the open web and its potential social impact. Two weeks ago I blogged here too about tracking three hurricanes in the Caribbean via the brilliant but closed In between I compared & contrasted open & closed regimes on my Medium channel... and that 2½ yrs after a previous blog here on same!

Wednesday, 13 September 2017

Trio of Caribbean Hurricanes early Sept 2017

Evolution of Hurricanes Katia, Irma and José, and of Tropical Storm 57. Note how:
  • Katia developed late over Gulf of Mexico & stops shortly after head-on landfall
  • Irma is the strongest having developed over warmer S Atlantic then Caribbean
    • weakens to Category 3 on first Florida Keys landfall
    • strengthens again over western Gulf of Mexico 
    • immediately weakens at second Florida Coast landfall
    • still Cat2 (not shown) then finally Cat1 before degrading
  • José stays strong over water, strengthens briefly to Cat4-5 then swerves to W Atlantic
  • Tropical Storm 57 never materialised into a possible and feared hurricane three-punch

Friday, 1 September 2017