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Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing
Flood susceptibility analysis logistic regression model
2015/8/14
Recently, in the year 2006, 2007 and 2008 heavy monsoons rainfall have triggered floods along Malaysia's east coast as well as in different parts of the country. The hardest hit areas are along the ea...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
linear regression multivariate statistics nitrogen NPS soil moisture spatial analysis visualization
2015/8/11
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Spatial distribution of land type in regression models of pollutant loading
GIS Non-point source pollution nutrient export spatial distribution regression modeling
2015/8/11
This paper proposes a method to improve landscape-pollution interaction regression models through the inclusion of a variable that describes the spatial distribution of a land type with respect to the...
Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing
Flood susceptibility analysis logistic regression model Geographic Information System GIS Remote Sensing
2015/1/8
Recently, in the year 2006, 2007 and 2008 heavy monsoons rainfall have triggered floods along Malaysia's east coast as well as in different parts of the country. The hardest hit areas are along the ea...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
NPS soil moisture spatial analysis visualization
2015/1/6
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Spatial distribution of land type in regression models of pollutant loading
GIS Non-point source pollution
2015/1/5
This paper proposes a method to improve landscape-pollution interaction regression models through the inclusion of a variable that describes the spatial distribution of a land type with respect to the...
Seasonal prediction of winter extreme precipitation over Canada by support vector regression
winter extreme precipitation Canada support vector regression
2011/1/7
For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models ...
A multiple linear regression GIS module using spatial variables to model orographic rainfall
multiple linear regression GIS module spatial variables orographic rainfall
2009/12/4
This paper aims to document the development of a new GIS-based spatial interpolation module that adopts a multiple linear regression technique. The functionality of the GIS module is illustrated throu...
Regional Flood Relationships by Nonparametric Regression
Regional Flood Relationships Nonparametric Regression
2009/10/26
Since some theoretical assumptions needed in linear regression are not always
fulfilled in practical applications, nonparametric regression was investigated as
an alternative method in regional floo...
Estimating the suspended sediment yield in a river network by means of geomorphic parameters and regression relationships
suspended sediment yield geomorphic parameters
2009/4/28
An application of regression relationships depending on geomorphic parameters is proposed to predict the amount of the average annual suspended sediment yield at different sections of the drainage net...
Testing the transferability of regression equations derived from small sub-catchments to a large area in central Sweden
water balance modelling large scale multiple regression
2009/3/12
There is an ever increasing need to apply hydrological models to catchments where streamflow data are unavailable or to large geographical regions where calibration is not feasible. Estimation of mode...