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AtlasOfLivingAustralia / layers-service

Spatial layers - this repo for issues/doc only, not code
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Load layer: Aqueduct Water risk layers (world extent) #11

Open Tasilee opened 10 years ago

Tasilee commented 10 years ago

migrated from: https://code.google.com/p/ala/issues/detail?id=300 date: Wed Nov 13 17:41:54 2013 author: leebel...@gmail.com

Stephanie ran across http://www.wri.org/resources/data-sets/aqueduct-global-maps-20 and after a look at the data, I believe these layers are well worth getting into the Atlas. Data/metadata at the above URL.

adam-collins commented 10 years ago

date: Mon May 26 22:26:22 2014 author: adam.col...@gmail.com

(No comment was entered for this change.)

UPDATES: Owner: adam.col...@gmail.com Status: Started

Tasilee commented 10 years ago

date: Thu Jun 19 19:11:52 2014 author: leebel...@gmail.com

Ideally, the following priority for layer loading

  1. Total water withdrawal
  2. Consumptive use
  3. Total blue water
  4. Baseline water stress
  5. Drought severity
  6. Threatened amphibians
  7. Upstream protected land
  8. Interannual variability
  9. Seasonal variability
  10. Flood occurrence

I'll help with metadata once on dev

UPDATES: Summary: Load layer: Aqueduct Water risk layers (world extent)WAS:(was: Add Aqueduct Water risk layers (world extent))

Tasilee commented 10 years ago

date: Sun Aug 10 22:54:15 2014 author: leebel...@gmail.com

(No comment was entered for this change.)

UPDATES: Labels: Layers

linaizhong commented 9 years ago

Hi Adam,

I notice you updated this issue as "Started" status. Does this mean you are doing this?

Best regards, Alan

adam-collins commented 9 years ago

Happy for you to take over. Layers are loaded on dev. Might be a couple missing from the list of 10. Need custom SLDs for each next.

linaizhong commented 9 years ago

Thank you very much for letting me knowing this, Adam.

ansell commented 8 years ago

I couldn't find these layers in spatial-test, so I loaded them in. The full list of dimensions that @Tasilee referenced above are loaded as fields attached to the following two layers, which are differentiated by one being filtered just to contain catchments with known names which is more sparse than the other containing the original set (16183 out of 25002 shapes did not have the Catchment field filled in):

Unfiltered:

http://spatial-test.ala.org.au/spatial-service/manageLayers/layer/10898

global_dl_20140109

Filtered:

http://spatial-test.ala.org.au/spatial-service/manageLayers/layer/10899

global_dl_20140109_catchments

These will not be copied over to spatial.ala.org.au yet due to the freeze on adding new fields to biocache records, similar to the PSMA datasets (issue #81)