#TITLE_ALTERNATIVE#
Prediction of land use/land cover (LULC) change is an importance matter in land use. Therefore, a prediction model of land use change is needed. One of way e is using Monte Carlo method. In this research, Monte Carlo method is combined Markov Chain method to have a probabilistic value for every clas...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/8995 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| id |
id-itb.:8995 |
|---|---|
| spelling |
id-itb.:89952017-10-09T10:51:09Z#TITLE_ALTERNATIVE# AKBAR MUTTAQIN (NIM 15104042), RAHMAT Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/8995 Prediction of land use/land cover (LULC) change is an importance matter in land use. Therefore, a prediction model of land use change is needed. One of way e is using Monte Carlo method. In this research, Monte Carlo method is combined Markov Chain method to have a probabilistic value for every class of land use and moore neighborhood method to represent the relation between cells in the system that implemented to create a locational prediction model of land use change in imagery form. This image is a modeling result that can give a spatial pattern of land use prediction. Bandung Region was selected as an area of model implementation using 1994 and 1997 land use as a basic data and 2001 land use data defined as validation data. The result of validation process shows the accuracy of allocation and location prediction model of land use change. text |
| institution |
Institut Teknologi Bandung |
| building |
Institut Teknologi Bandung Library |
| continent |
Asia |
| country |
Indonesia Indonesia |
| content_provider |
Institut Teknologi Bandung |
| collection |
Digital ITB |
| language |
Indonesia |
| description |
Prediction of land use/land cover (LULC) change is an importance matter in land use. Therefore, a prediction model of land use change is needed. One of way e is using Monte Carlo method. In this research, Monte Carlo method is combined Markov Chain method to have a probabilistic value for every class of land use and moore neighborhood method to represent the relation between cells in the system that implemented to create a locational prediction model of land use change in imagery form. This image is a modeling result that can give a spatial pattern of land use prediction. Bandung Region was selected as an area of model implementation using 1994 and 1997 land use as a basic data and 2001 land use data defined as validation data. The result of validation process shows the accuracy of allocation and location prediction model of land use change. |
| format |
Final Project |
| author |
AKBAR MUTTAQIN (NIM 15104042), RAHMAT |
| spellingShingle |
AKBAR MUTTAQIN (NIM 15104042), RAHMAT #TITLE_ALTERNATIVE# |
| author_facet |
AKBAR MUTTAQIN (NIM 15104042), RAHMAT |
| author_sort |
AKBAR MUTTAQIN (NIM 15104042), RAHMAT |
| title |
#TITLE_ALTERNATIVE# |
| title_short |
#TITLE_ALTERNATIVE# |
| title_full |
#TITLE_ALTERNATIVE# |
| title_fullStr |
#TITLE_ALTERNATIVE# |
| title_full_unstemmed |
#TITLE_ALTERNATIVE# |
| title_sort |
#title_alternative# |
| url |
https://digilib.itb.ac.id/gdl/view/8995 |
| _version_ |
1820664564442726400 |