Geospatial multiple logistic regression approach for habitat characterization of scarce plant population: A case study of Pittosporum eriocarpum Royle (an endemic species of Uttarakhand, India)

Journal of the Indian Society of Remote Sensing

Volumn 38, Issue 3, 2010, Pages 513-521

  Padalia, H ^a   Bharti, R R ^a   Pundir, Y P S ^b   Sharma, K P ^b  

^a Regional Remote Sensing Service Centre   (India)

^b DBS Post Graduate College Dehradun   (India)

Author keywords

Endemic species; GIS; Habitat characterization; Himalaya; Logistic regression; Pittosporum eriocarpum

Indexed keywords

BIODIVERSITY; DATA SET; DICOTYLEDON; ENDANGERED SPECIES; ENDEMIC SPECIES; GEOGRAPHICAL DISTRIBUTION; GIS; HABITAT STRUCTURE; NUMERICAL MODEL; REGRESSION ANALYSIS; SPECIES OCCURRENCE;

INDIA; UTTARAKHAND;

PITTOSPORUM;

EID: 78650655828     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-010-0036-4     Document Type: Article

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