Classification of subclass types of urban land-use using spatio-temporal analysis of twitter data and support vector machine classifier approach (Record no. 17602)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
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fixed length control field 220311s2019 th uu m rtt 000 a|eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12335320
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.RS-19-16
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pastrana, Donah Rae Calino
245 10 - TITLE STATEMENT
Title Classification of subclass types of urban land-use using spatio-temporal analysis of twitter data and support vector machine classifier approach
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 62 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. RS-19-16
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information System, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Sc.) - Asian Institute of Technology, 2019
520 ## - SUMMARY, ETC.
Summary, etc. This study is aimed to develop an alternative approach of classifying subclass types of urban land-use since the detailed detection of subclass types of urban land-use namely day markets, hotels, night markets, shopping malls, weekend markets, government offices, hospitals, universities, condominiums and villages remains a challenge in remote sensing method. With the proliferation of smartphone devices, social media has been part of human activity. As social media becomes popular, it gives vast amount of information every day from people who shared their sentiments, opinions, new information via different social media platforms. One of the prevalent social media platforms in Bangkok, Thailand is the twitter. Understanding the tweeting frequency of unique users in different time and place gives an essential knowledge that can be used in the classification of subclass types of urban land- use. This study used 4,605,766 tweets with geo-Iocations with 166,511 unique users for twenty three months period which were grouped into different grids of 30m by 30m within Bangkok Metropolitan Area (BMA). The spatio-temporal analysis was conducted and 500 grids were selected to serve as the training and testing datasets with split of 80% and 20%, respectively. A 5-fold stratified cross validation was applied to ensure that each subclass types of urban land-use are equally represented across each test fold. The SVM classifier was used in this study because of its ability to classify non-linear datasets and able to cater high-dimensional data. Also, different kernel functions in SVM were explored and evaluated namely polynomial kernel, Pearson VII function-based Universal Kernel (PUK) and Radial Basis Function kernel (RBF). Based on the result, PUK yielded highest overall accuracy and kappa coefficient with value of 90% and 88.89%, respectively compare to polynomial and RBF kernels. Using this kernel type, the subclass types of urban land-use namely night market, weekend market, shopping mall, government office and university got the highest precision and recall with values above 92% while the other five subclass types namely day market, hotel, hospital, condominium, and village were having low value below 85%. The result shows that twitter can be a potential data source in detailed classification of urban land-use into different subclass types of urban land-use.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Land use, Urban
General subdivision Remote sensing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial analysis (Statistics)
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sarawut Ninsawat,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Apichon Witayangkurn,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kim, Sohee Minsun,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Development Bank - Japan Scholarship Program (ADB - JSP),
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. RS-19-16
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22495">http://203.159.5.9/ait-thesis/detail.php?q=B22495</a>
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Cataloger's initials, CIN (RLIN) 220311
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
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Barcode Barcode : 30050120892699
CREATED CREATED : 2019-12-17
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Thesis no.RS-19-16 30050120892699 17/08/2026 1 17/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT Thesis no.RS-19-16 30050211019343 17/08/2026 1 17/08/2026 20-AIT Publication 50.00
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT Thesis no.RS-19-16 30050211019335 17/08/2026 2 17/08/2026 20-AIT Publication 50.00
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