Abstract
Spatial interpolation is the process of using point with known values to estimate
values at other unknown points. The study is conducted to determine relationship
between rainfall, and slope towards palm oil trees in Kelantan. The data of rainfall
distributions were obtained from the Department of Irrigation and Drainage (IPS) has
involving the amount of the distributions of year 2013 to 2016. These data were make
kriging interpolation technique using ArcGIS 10.3.Next slope map will be produce to
know the suitable terrain around palm oil area. For this study rainfall data has been
analyzed with the slope and elevation to find out the relationship between this two
data that can affected the palm oil trees. This study explained the relationship between
rainfalls, slope and elevation data as an input and the palm oil trees as an output
inspire of, explaining what happen in between using regression model. The result
shows the Rainfall distribution map. Slope map. Regression model between average
of rainfall and slope. In conclusion, apart from the analysis of rainfall and slope can
be the strong correlation between this two data.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Zakaria, Dzuliyana UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems G Geography. Anthropology. Recreation > GB Physical geography > Slopes (Physical geography) Q Science > QC Physics > Meteorology. Climatology. Including the earth's atmosphere > Rain and rainfall |
Keywords: | Oil palm trees; GIS technique |
Date: | December 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/22475 |
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