Arctic wrap-up as a story-map

Update 1: Story Map of same Northwest Passage: maps and words
Update 2: video of same Arctic Sea Ice Summer 1979–2018
Update 3: follow on story map on onshore aspects: Fire & Ice — Arctic past & future climes

Update 4: lovely Scott Polar Research Institute entrance foyer frescoes of same at the bottom

Following my previous posts on geo-awareness and transitioning platforms, I repost here this story map that wraps together the story for the Arctic region on Esri platform. You will find at its end a link to the course that cover both poles on Esri and QGIS as complete exercises in polar mapping.

GIS education & awareness

[Update: another way to make it all more accessible, is to wrap-up the Arctic data as a story-map.]

There is a patent need to better explain all things geospatial to us as geo professionals as well as to the public addressed here.

"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]".

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.

"Data and Maps: a simpler Workflow"

[Note: this complements Part III of A Day in the Life of...  ongoing blog post series here]

“Au revoir” RMOTC dataset, part VII

“Lucky 7”, this is my closing post on the RMOTC series on subsurface 3D data, to explore reservoir depletion, pipeline routing and gridding/contouring. This also ends for now my tenure in Kuwait, where I prepared this dataset for a training tool. Follow me on LinkedIn to see where I'll go next...

Gridding and contouring (RMOTC dataset, part VI)

Free geosciences 3D data show GIS helping model reservoir depletion, and displaying it on the desktop and on-line. Then came pipeline routing and now to close the loop is gridding and contouring. Again, this is no replacement for geosciences packages, but rather a tool for triage:

• first stack as many data as needed (like basin hydrodynamics or land permitting) for play-fairway analyses
• then focus on targets with geoscience apps on specifics (like seismic and petrophysics) for prospects

Openware inaugural newlsetter

Ask the GIS Expert column on page 14 in the inaugural newsletter of Openware (Esri distributor in Kuwait) echoes the current blog series: use what you already have on your Esri desktop.

Pipeline routing (RMOTC dataset, part V)

As promised last week here is the update to my second most popular Slideshare post: using ArcGIS Model Builder to plan a pipeline route as a function of topography, slope, land cover and cultural data (roads, rivers, wetlands etc.). As RMOTC is remote, see (pardon the pun) it is uninhabited and land cover is uniformly grass- or shrub-land, which has the same IGBP class of 5 (middle-of-the-road).

Simple reservoir depletion modelling, part IV

This last in a series shows how to further extend the reach of your GIS analysis across the corporation in full 3D via a free ArcGIS Explorer Desktop. Simply go Add Contents: ArcGIS layers, and to enhance performance go Base Map: Clear basemap. This is a large data set complete with local topography.

Simple reservoir depletion modelling, part III

This is to show on the web or with a free desktop GIS the results of the previous two postings. The free data-set from Teapot Dome is a great opportunity to display 3D petro-data in Esri. As the previous posting suggested, data were upgraded to Esri 3D Analyst ArcGlobe here.

Simple reservoir depletion modelling, part II

Posted on ArcGIS Online a 3D rendition of the Teapot Dome free 3D GIS dataset by RMOTC and model by me. I used Esri ArcScene from its ArcMap 3D Analyst extension. If you don't have that, then download the free ArcGIS Explorer Desktop, and point to the layer package file here [updated with ArcGlobe]. ArcGIS Explorer Online cannot display 3D packages, furthermore, the drop-down menu on the arcgis.com site will suggest how to access it. You can get ArcGIS Desktop for Home use with extensions for $100 here.

Simple reservoir depletion modelling

Following on last week's Teapot Dome 3D dataset, here's the first step toward upgrading my most popular Slideshare post: Geoscience class notes have an option to run ESRI Model Builder that comes with the Spatial Analyst extension. Simply reversing reservoir topography and applying a surface run-off model, will mimic the depletion of reservoir of its petroleum content. The same way water flows downstream though gravity, petroleum will flow up-slope through hydrostatic recharge (in other words buoyancy pushes hydrocarbons up on top of denser water and out of a reservoir).

A Tale of two approaches, part III

My previous posts here, here and here are summarised in today' reply to Matt Ball's excellent Spatial Sustain entry, What comes first, model-based design or integrated project workflows?

A tale of two approaches, part II

Things have moved since my previous post: even though ESRI doesn't want to be geodesign, that is high on their agenda in their business partner conference this week. And since where 2.0 among many others hail location services as the next big thing, it's no surprise Wired quotes Jack Dangermond as pushing handhelds for onsite design as I imagine it:

GIS and autos - Part II

Further comparing two industries, after WWII the US interstate highways created a transportation backbone originally lobbied for by the auto industry. It greatest beneficiary however was the trucking industry, which acquired a ready-made and tax-paid road network. From individual truckers to unionised haulers, it changed the face of many industries, such as the transporation of food and the delivery of mail, where cost and timeliness were key. Entrepreneurs were helped by the fact the network was paid for, lowering a barrier to entry in the business.

Of GIS and automobiles

What mixed messages last week about what makes a succesful GIS division! On one hand CH2M Hill spun off Critigen, on the other Balfour Beatty plans to acquire Parsons Brinckerhoff. A few years ago Halliburton shed KBR, which in turn exited geospatial services. So is a spin-off due to its year-on-year growth, read: highest likelihood of surviving solo? Or is the parent shedding its best parts first, read: ripe for corporate takeover or management buyout?