TY  - JOUR
T1  - Detection of Land Use Change Using the R Program (A Case Study of Phuket Island, Thailand)
AU - Thinnukool, Orawit AU - Kongchouy, Noodchanath AU - Choonpradub, Chamnein 
JO  - Research Journal of Applied Sciences
VL  - 9
IS  - 5
SP  - 228
EP  - 237
PY  - 2014
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2014.228.237
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2014.228.237
KW  - Land use
KW  -Phuket Island
KW  -urban
KW  -agricultural
KW  -forest
KW  -GIS freely available
KW  -software
KW  -software
AB  - Urban growth is an important topic that developers around 
  the world need to assess because of expansion of the city which directly affects 
  adjacent areas. After land reform was initiated in 1987 by Remote Sensing data 
  (RS), developers became aware of the study of land planning and land policy. 
  Although, Geographic Information System (GIS) Software can be used in detecting 
  land use change, there is the need to pay the license cost. Nowadays, geographers 
  have been able develop GIS Programs such as Map Windows GIS and Quantum GIS 
  for detecting land use change. However, some techniques are not available with 
  the free software. The main purpose for investigating land use change was to 
  show loss and gain in areas and also to show the basic statistics. This study 
  examines the use of GIS in land use change mapping for Phuket Island from 1967 
  to 2009. Secondary data from the Thai Department of Land Development was appropriate 
  for analyzing land use change. Researchers used the data from supervised classifications 
  to classify the RS data. For the analysis of land use categories change, the 
  digitization approach was used. The computation was based on the actual number 
  of observations for land use data on Phuket by free software, the R Program. 
  Three categories of land use change were investigated: forest, agriculture and 
  urban; quantitative analysis changed using a bubble plot matrix. The study illustrated 
  the increasing trend of urban growth in tourist areas which directly affect 
  the forest area on Phuket Island. Land use changes from one category to another 
  have been clearly represented by map format using a scale of 1:1000.
ER  -