Another Take on Climate Change, Part V

[Update: Part VI, more on geomagnetic reversals]

Parts I, II, III & IV from March 2011 became relevant in a comment yesterday on Euan Mearns post on extreme climate. He pointed to the Laschamp event, and suggests this: that the wandering of the North Pole heralds a impending magnetic reversal, such as happened 4000 years ago evidenced in the French Massif Central near Clermont Ferrand.

Global vector datasets on the web

I described exactly two years ago posting NOAA's global shoreline dataset on my AWS stack - added  recently to personal portfolio for easy access - I discussed here earlier, why post global vector datasets, when web services provided such varieties of backdrops? At issue is that vector data are so large at global scales, that NOAA above and Natural Earth post them as various scales, where details are trade-off against scale.

To teach or not to teach, that is the question

With apologies to The Bard, whilst the internet in general and YouTube in particular are great tools - I use them here and on YouTube myself - there is the danger of posting educational videos uncritically.

GeoHipster Calendars: 2014 & 2015

[Update: detailed explanation can be found in Geohipster's 13 Maps in 13 days.]

Public – government interaction to help improve data custodianship

This submittal to Esri(UK) Annual Conference summarises the story detailed on my blog.

"Data and Maps: a simpler Workflow"

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

GIS for oil spill modelling - Part II

This is a follow-up to Part I explaining oilspill modelling using NOAA Gnome modelling software and Kuwaiti ROPME data, all in the public domain. This has now been posted on ArcGIS Online as a time-aware file geodatabase map package. In this video using a dark grey basemap, the map package shows mock oil dispersal via advanced annotation, inversely proportional to time.

GIS for oil spill modelling

Presented almost five years ago to Kuwait Petroleum Company with local Esri distributor OpenWare, using NOAA oil spill model results in Esri GIS and recorded in YouTube. [The presentation has been updated to reflect additions in Part II.]

Amazon Web Services for mega-geo-data

Presentation given recently to the Cambridge (UK) AWS Meetup

Avoid overcrowded maps by upscaling tens of thousands of data points - how-to

Here is how to create your own Beehive Map that up-scales megadata into fast web maps: