Closed jyucsiro closed 4 years ago
For a DGGS cell ID, find other Loc-I IDs
Create a new endpoint: /location/find_at_DGGS_cell
/location/find_at_DGGS_cell
Inputs: DGGS Cell ID or URI, example: R78511 or http://ec2-52-63-73-113.ap-southeast-2.compute.amazonaws.com/AusPIX-DGGS-dataset/ausPIX/R78511
Method: Parse input string for the Cell ID (if URI) Query database with DGGS AusPIX Cell ID "R78511" Aggregate all relevant Loc-I Features (might need to convert to Loc-I URIs
Return: Array of Loc-I Features Loc-I Feature URI, e.g. http://linked.data.gov.au/dataset/asgs2016/statisticalarealevel1/31503140814 type label, e.g. 'asgs2016_sa1'
Develop functionality as a Jupyter notebook in https://github.com/CSIRO-enviro-informatics/loci-notebooks first. Once developed, implement in loci-integration-api
loci-integration-api
For a DGGS cell ID, find other Loc-I IDs
Create a new endpoint:
/location/find_at_DGGS_cell
Inputs: DGGS Cell ID or URI, example: R78511 or http://ec2-52-63-73-113.ap-southeast-2.compute.amazonaws.com/AusPIX-DGGS-dataset/ausPIX/R78511
Method: Parse input string for the Cell ID (if URI) Query database with DGGS AusPIX Cell ID "R78511" Aggregate all relevant Loc-I Features (might need to convert to Loc-I URIs
Return: Array of Loc-I Features Loc-I Feature URI, e.g. http://linked.data.gov.au/dataset/asgs2016/statisticalarealevel1/31503140814 type label, e.g. 'asgs2016_sa1'
Develop functionality as a Jupyter notebook in https://github.com/CSIRO-enviro-informatics/loci-notebooks first. Once developed, implement in
loci-integration-api