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Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models
Author(s):
David Makori
,
Ayuka Fombong
,
Elfatih M. Abdel-Rahman
,
Kiatoko Nkoba
,
Juliette Ongus
,
Janet Irungu
,
Gladys Mosomtai
,
Sospeter Makau
,
Onisimo Mutanga
,
John Odindi
,
Suresh Raina
,
Tobias Landmann
Publication date:
2017-03-01
Journal:
ISPRS international journal of geo-information
Publisher:
MDPI
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Renewable Energy – Distribution Grid
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TIMESAT—a program for analyzing time-series of satellite sensor data
Per J Jonsson
,
Lars Eklundh
(2004)
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An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
Robin Engler
,
Antoine Guisan
,
Luca Rechsteiner
(2004)
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A null-model for significance testing of presence-only species distribution models
Niels Raes
,
Hans ter Steege
(2007)
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Journal
DOI::
10.3390/ijgi6030066
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