Modelling of surface air temperature elements : integration of multiple regression model and spatial interpolation technique / Fariza Yunus
The surface air temperature is a significant meteorological element in agricultural studies and the demand for this data has increased. Thus, satisfactory exactness is required, especially over un-sampled areas. Spatial models of surface air temperature elements were developed for the Peninsular Mal...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book Section |
| Language: | English |
| Published: |
Institute of Graduate Studies, UiTM
2014
|
| Subjects: | |
| Online Access: | http://ir.uitm.edu.my/id/eprint/19527/1/ABS_FARIZA%20YUNUS%20TDRA%20VOL%206%20IGS_14.pdf http://ir.uitm.edu.my/id/eprint/19527/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The surface air temperature is a significant meteorological element in agricultural studies and the demand for this data has increased. Thus, satisfactory exactness is required, especially over un-sampled areas. Spatial models of surface air temperature elements were developed for the Peninsular Malaysia region. There were eight environmental variables – elevation, locations (latitude and longitude), and five nearest distances of coastline and four land use types (water bodies, forest, agriculture and built-up) – that are significant to surface air temperature elements, evaluated in this study. A multiple regression model was generated to explain the contributions of these environmental factors for each surface air temperature element. The seasonal and regional roles were also considered in the modelling process. Peninsular Malaysia experiences four seasons; namely, northeast monsoon, spring transition, southwest monsoon and autumn transition. The new regionalization of Peninsular Malaysia was delineated using a multi-step approach by integrating insitu data for the surface air temperature elements and raster data of Geographical Information System (GIS). |
|---|