Identifying Reliable Opportunistic Data for Species Distribution Modeling: A Benchmark Data Optimization Approach
The purpose of this study is to increase the number of species occurrence data by integrating opportunistic data with Global Biodiversity Information Facility (GBIF) benchmark data via a novel optimization technique. The optimization method utilizes Natural Language Processing (NLP) and a simulated...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-11-01
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Series: | Environments |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3298/4/4/81 |