Predicting the distribution of C3 (Festuca spp.) grass species using topographic variables and binary logistic regression model-Reference-Cited by-同舟云学术

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Predicting the distribution of C3 (Festuca spp.) grass species using topographic variables and binary logistic regression model

Published:2017-01-12 Issue:5 Volume:33 Page:489-504
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Otunga Charles¹,Odindi John¹,Mutanga Onisimo¹,Adjorlolo Clement²,Botha Jacobus³

Affiliation:

1. Discipline of Geography, School of Agricultural, Earth & Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa

2. Earth Observation, South African National Space Agency (SANSA), Pretoria, South Africa

3. Department of Agriculture and Rural Development (KZNNRDARD), Natural Resources Section (NRS) of KwaZulu-Natal, Pietermaritzburg, South Africa

Funder

UKZN College

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2016.1265598

Reference122 articles.

1. Plant phenology and life span influence soil pool dynamics: Bromus tectorum invasion of perennial C3–C4 grass communities

2. Employing ground and satellite-based QuickBird data and random forest to discriminate five tree species in a Southern African Woodland

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