International Business Machines Corporation

Matthew M Klawonn

Eli M Dow

Harry Roger Kolar

An aspect includes aggregating a plurality of disparate datasets into a document store with semi-structured attributes, with each document in the document store specifying a geospatial location and a value of an environmental parameter at the geospatial location. The document store includes a plurality of documents specifying a plurality of different geo spatial locations and different environmental parameters, and the environmental parameters include a climatological parameter. Niche model layers are generated for the different environmental parameters at the geospatial locations. The niche models include a model layer for each of the different environmental parameters. A future geospatial location of a species is predicted based on environmental attributes of the species and contents of the niche model layers. The predicted future geospatial location of the species overlaid on a geographic map is output to a requestor.

Flexible framework for ecological niche modeling

An aspect includes aggregating a plurality of disparate datasets into a document store with semi-structured attributes that includes a plurality of documents specifying a plurality of different geo spatial locations and a plurality of different environmental parameters. Niche model layers are generated for the environmental parameters at the geospatial locations based on contents of the document store. The niche model layers include a model layer for each of the different environmental parameters. An additional niche model layer is created for a derived environmental parameter at the geospatial locations based at least in part on one of the previously generated niche model layers. A future geospatial location of a species is predicted based on environmental attributes of the species and contents of at least a subset of the niche model layers. The predicted future geospatial location of the species overlaid on a geographic map is output.

Inferring ecological niche model input layers and predicting a future geospatial location of a species

An aspect includes aggregating a plurality of disparate datasets into a document store with semi-structured attributes, with each document in the document store specifying a geospatial location and a value of an environmental parameter at the geospatial location. The document store includes a plurality of documents specifying a plurality of different geo spatial locations and different environmental parameters, and the environmental parameters include a climatological parameter. Niche model layers are generated for the different environmental parameters at the geospatial locations. The niche models include a model layer for each of the different environmental parameters. A future geospatial location of a species is predicted based on environmental attributes of the species and contents of the niche model layers. The predicted future geospatial location of the species overlaid on a geographic map is output.

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Troy, NY, United States of America

Matthew M Klawonn