The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Geographic Information Systems & Location-Based Services
Abstract
This chapter is about geographic information systems (GIS) and its relevance to the location-based services industry. One might initially ask how relevant GIS is to a book that is predominantly about automatic identification and its future trajectory. The answer becomes apparent quickly as the reader is introduced to the importance of geocoding information, i.e., geographically linking data such as personal details using a unique ID number. In the past data matching programs have received a great deal of attention from privacy advocates, especially those used for the administration of government procedures. Till now, automatic identification has facilitated electronic services (e-services), allowing an individual to be matched to a fixed address, usually their place of residence. But it is one thing to tag and another to track. Today, we are moving towards a model of tracking and monitoring people as they go about their daily business, in real time. We are no longer satisfied with knowing where an individual lives but we want to know their every move- so that we can estimate traffic congestion on a busy road, design 3G mobile networks that have enough capacity during busy hours, and to ensure someone’s safety when adequate supervision is not available.
Related Content
|
Licheng Huang, Bochen Xue, Yiming Chen, Peihang Wu, Yuezhong Wang, Aquil Mirza Mohammed.
© 2026.
34 pages.
|
|
Hong Rui Zhou, Min Hao Ling, Tong Yao Li, Xiang Li, Yi Ran Wu, Cong Wu.
© 2026.
34 pages.
|
|
Chenyu Liu, Yaxin Luo, Jingyan Zeng, Liyuan Fan, Mingyuan Tang, Cong Wu.
© 2026.
28 pages.
|
|
Haochen Shi, Xuan Luo, Junhao Huang, Yixiong Feng, Zihan Meng, Aquil Mirza Mohammed.
© 2026.
34 pages.
|
|
Ruiman Huang, Shuxin Jia, Zeyu Min, Haoyue Zhang, Hewa Majeed Zangana.
© 2026.
32 pages.
|
|
Shu Kei Ling, Pak Sun Wong, Kwan Ho Yuen, Mohammad Al Khaldy.
© 2026.
40 pages.
|
|
Enlong Dong, Huakun Huang, Huakai Huang, Ruize Liu, Hengxian Li.
© 2026.
34 pages.
|
|
|