Biospytial: spatial graph-based computing for ecological Big Data.

ABSTRACT:

Background

The exponential accumulation of environmental and ecological data together with the adoption of open data initiatives bring opportunities and challenges for integrating and synthesising relevant knowledge that need to be addressed, given the ongoing environmental crises.

Findings

Here we present Biospytial, a modular open source knowledge engine designed to import, organise, analyse and visualise big spatial ecological datasets using the power of graph theory. The engine uses a hybrid graph-relational approach to store and access information. A graph data structure uses linkage relationships to build semantic structures represented as complex data structures stored in a graph database, while tabular and geospatial data are stored in an efficient spatial relational

SUBMITTER: Escamilla Molgora JM 

PROVIDER: S-EPMC7213554 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature