Predictive mapping of mosquito distribution based on environmental and anthropogenic factors in Taita Hills, Kenya

Research output: Contribution to journalArticleScientificpeer-review

LanguageEnglish
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume76
Pages84-92
Number of pages9
ISSN1569-8432
DOIs
Publication statusPublished - Apr 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • 1171 Geosciences
  • 413 Veterinary science
  • Species distribution modeling, Vector-borne disease, GIS, Predictive mapping, Mosquito, biomod2, UNMANNED AERIAL VEHICLES, WEST NILE VIRUS, DISTRIBUTION MODELS, INFECTIOUS-DISEASE, AEDES-AEGYPTI, DIPTERA, CULICIDAE, VECTORS, CLASSIFICATION, ABUNDANCE

External organisations

Mutai, Noah
  • Taita Taveta University, Department of Mathematics and Informatics
Vapalahti, Olli
  • HUSLAB

ID: 120596422