[Update 2: this series has full CC BY-SA 3.0 class notes here
Update 1: please see a mirror project for the Arctic in Part 2.]
With ongoing debates whether Antarctic ice in increasing or not, and its effect on climate change, we must avail ourselves of as much data as we can. If historic climate data is at hand, not only do they get scarcer going farther back, but 1880 also marks a time prior to which their reliability falls off.
So having mapped climate data off tall ships captains logs from 1750 to 1850, I wondered how far south they sailed, and how much they augmented historic climate data around the Antarctic?
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Showing posts with label AWS. Show all posts
Showing posts with label AWS. Show all posts
Wednesday, 21 March 2018
Sunday, 17 January 2016
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.
Monday, 20 April 2015
Tuesday, 14 April 2015
Releasing data really works, Part VII
And now for something completely different - the original posts until Part VI are listed below - I ran across a nice map of Steve Feldman's: He also tried out free data and software to map UK flood maps, an up-scaled version not for professional re-use.
Wednesday, 4 February 2015
Esri, Google and if the shoe fits...
[Update: a Google business partner's view of things, 3 mo. after the fracas]
[Here is a further update based on input from other people on what is surely a timely topic. Originally posted on LinkedIn Pulse as The (Geo) Internet of Things, it's posted there for a wider audience.]
Friday, 15 August 2014
Dynamic maps final (for now)
[Update1: longhand version posted on my map catalog blog
Update 2: companion Slideshare delves into technical issues]
This is the end installment of progressing from static to dynamic maps online. A few lessons learned along the way on posting a quarter million point dataset, which ballooned to almost half a million after links & joins...
Update 2: companion Slideshare delves into technical issues]
This is the end installment of progressing from static to dynamic maps online. A few lessons learned along the way on posting a quarter million point dataset, which ballooned to almost half a million after links & joins...
Saturday, 9 August 2014
Lessons from 'static to dynamic maps'
Last month related the stumbling blocks in posting too much data on arcgis.com - time animation pushed the limits of stock web service even when limits are set above 250K points - and other services don't offer animation as yet.
Sunday, 27 July 2014
From static to dynamic maps, continued
Last month I reported on posting on arcgis.com some time-stamped, time-slider or time-aware maps - I showed my WhereIsAndrew map - I also mentioned how time-sliders are a great way to roll-up diverse datasets that are time dependent. CLIWOC Captain's ships logs was the other example cited, and I proceeded to post it as a service from ArcMap on arcgis.com.
Saturday, 14 June 2014
From static to dynamic maps, my travel so far
I tell people "I know just enough java to be dangerous", and it has served my well in my prior attempts logged in my old web page. These were all Google Maps API v.2 I built about 5 years ago. This blog as well as my new map catalog showed how I built maps in QGIS then ArcGIS, and then posted them on giscloud.com and AWS via Mapcentia GeoCloud2. I recently posted maps on arcgis.com on desktop and smartphone, static results of 'traveling salesman' geoprocessing on the desktop or online.
Sunday, 30 March 2014
... now HOW open is open?
[Update: Part II is on my Medium professional channel 2½ year later: Almost open data]
A lot of (virtual) ink has flowed around opening up data, as in this blog, GISuser crowdsourcing open data (below left) etc. etc. And everyone is getting into the act, from White House (below center) and Whitehall (UK Cabinet Office) to the number of open data hits (below right).
A lot of (virtual) ink has flowed around opening up data, as in this blog, GISuser crowdsourcing open data (below left) etc. etc. And everyone is getting into the act, from White House (below center) and Whitehall (UK Cabinet Office) to the number of open data hits (below right).
Sunday, 16 March 2014
Releasing data really works, Part VI
Three months into posting data on my web service - Part V - I created a short list of free data for Great Britain on my Map Catalog called GB Freebie.
Sunday, 23 February 2014
Global Sailings (1662 - 1856, English, Spanish, Dutch, French) revisited
[Update: climate data (wind speed & direction) have now been added in short & long posts]
I originally extracted CLIWOC (CLImatological database for the World's OCeans) ship captains' logs ships locations over a decade ago, to demonstrate the processing of 250K+ points in ArcGIS desktop using then new File Geodatabase. Five years later I posted this on my old website with instructions how to use it in old ArcGIS Explorer and KML, and then I put a layer package on arcgis.com - both related historic details like de laPerouse's demise below, the importance of data standards and metadata, and the interst it generated elsewhere - more recently I posted a time-based variation of same, where using a time slider helps clarifiy complex data on desktop GIS.
I originally extracted CLIWOC (CLImatological database for the World's OCeans) ship captains' logs ships locations over a decade ago, to demonstrate the processing of 250K+ points in ArcGIS desktop using then new File Geodatabase. Five years later I posted this on my old website with instructions how to use it in old ArcGIS Explorer and KML, and then I put a layer package on arcgis.com - both related historic details like de laPerouse's demise below, the importance of data standards and metadata, and the interst it generated elsewhere - more recently I posted a time-based variation of same, where using a time slider helps clarifiy complex data on desktop GIS.
Sunday, 2 February 2014
Map catalog page 4
My map catalog also works well to post new projects: added British Geological Survey web mapping services to East Anglia web map, in order to compare historic and current geology. The Snapshot format also give a variety of viewing options of the catalog.
Sunday, 26 January 2014
Map catalog continued
In my ongoing suite of posting webmaps in my new and fresh Mind the Map blog, here is another take on loading global vectore megadatasets but this time on Amazon Web Services direct via Mapcentia's GeoCloud.
Saturday, 18 January 2014
Standards & Metadata, Part VIII
My previous post on this topic stated how careful documentation and appropriate metadata high-grades any information that is shared online by giving origin, context and other information. It helps build bridges and I quipped a well-known tear down this wall that also closed my second last post on free data and apps.
Sunday, 15 December 2013
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.
Saturday, 8 October 2011
Clouds gathering over the horizon, part V
Will spectacular outages of AWS and now BT cloud services casts a pall over the excitement that has reached even politicians? And now comes this geopolitical issue only hinted at by MSFT's tribulations in Europe over Internet Explorer. This posted in Germany (Google Chrome will translate this page for you) by Ruth Lang - 'SVG queen' to Dino Ravnic 'web vector king'.
Friday, 5 March 2010
Gathering clouds over the horizon...
... intermittent sunshine and showers predicted tomorrow. No this is not a meteo prediction, but a metaphor for opportunities and confusion that cloud computing creates. I see it as a pressure-release valve, where the constant demand to deliver more for less is pushing both sectors, for-profit and not-for-profit.
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