Logistic regression model (coefficients)–flood susceptibility.

Logistic regression model (coefficients)–flood susceptibility.

<p>Logistic regression model (coefficients)–flood susceptibility.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tahmina Afrose Keya (20141592) (author)
مؤلفون آخرون: Siventhiran S. Balakrishnan (20141595) (author), Maheswaran Solayappan (20141598) (author), Saravana Selvan Dheena Dhayalan (20141601) (author), Sreeramanan Subramaniam (466365) (author), Low Jun An (20141604) (author), Anthony Leela (20141607) (author), Kevin Fernandez (20141610) (author), Prahan Kumar (20141613) (author), A. Lokeshmaran (20141616) (author), Abhijit Vinodrao Boratne (20141619) (author), Mohd Tajuddin Abdullah (10147568) (author)
منشور في: 2024
الموضوعات:
Biotechnology
Ecology
Plant Biology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
xlink "> malaysia
standard statistical measures
improve flood management
geographic information system
flood vulnerability assessment
flood susceptibility models
flood susceptibility mapping
flood susceptibility map
flood influencing factors
expertise provide opportunities
ensemble machine learning
dense tree canopies
class collectively made
causing significant damage
abundant flooded vegetation
patterns ranking subsequently
high &# 8217
pahang &# 8217
1 x64 ).
fs ranking demonstrated
&# 8217
high risk
gis ).
particularly pahang
pahang found
validation datasets
technological advancements
steep inclines
sophisticated methods
random forest
primary attributes
lying topography
less susceptible
land use
land cover
intense precipitation
geospatial database
flow direction
flow accumulation
feature selection
central regions
better prepared
bare ground
arcgis software
algorithm based
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