Geoscience Reference
In-Depth Information
directions for future research. More specifically, with the emergence of personalized
LBS, more user friendly interfaces as well as faster and more efficient heuristics
need to be developed in order to fully exploit the capabilities of GIS in the most
appropriate manner.
In addition, at the moment GIS appear to be prevalently a two-dimensional
technology driven by the linkage with the geographical map. Even if some
approaches have been proposed for handling the third dimension, we are still
far from the availability of cost-effective tools whose reliability and efficiency,
especially in the function of data acquisition, can be considered comparable to the
corresponding 2D versions. Although the representation of the third and, especially,
the fourth dimension (time), may represent a serious challenge in terms of database
organization and conceptual framework, it will surely offer further interesting
opportunities to model and to analyze new location problems.
The extended functionality of modern GIS implies that a significant level of
expertise is required in order to utilize their full potential. Hence, the ultimate
question for location analysts still remains: is it worth investing the time and effort
in GIS in the context of location science? As far as applications are concerned,
the answer appears to be obviously affirmative. Furthermore, even in theoretical
terms the prospects of combining location science and GIS are constantly improving
as new opportunities are presented. We expect that in the years to come the two
disciplines will converge even more and the prospects of their interaction will
become even brighter.
References
Ahmad S (2011) GIS-based analysis and modeling with empirical and remotely-sensed data on
coastline advance and retreat. Electronic theses and dissertations. Paper 446.
http://scholar.
Alexandris G, Giannikos I (2010) A new model for maximal coverage exploiting GIS capabilities.
Eur J Oper Res 202:328-338
Aydin NY, Kentel E, Duzgun HS (2013) GIS-based site selection methodology for hybrid
renewable energy systems: a case study from western Turkey. Energy Convers Manag 70:90-
106
Bender T, Hennes H, Kalcsics J, Melo MT, Nickel S (2002) Location software and interface
with GIS and supply chain management. In: Drezner Z, Hamacher H (eds) Facility location:
applications and theory. Springer, Berlin, pp 233-274
Bhat MA, Shah RM, Ahmad B (2011) Cloud computing: a solution to geographical information
systems (GIS). Int J Comput Sci Eng 3:594-600
Bozkaya B, Yanik S, Balcisoy S (2010) A GIS-based optimization framework for competitive
multi-facility location-routing problem. Netw Spat Econ 10:297-320
Brandeau ML, Chiu SS (1989) An overview of representative problems in location research. Manag
Sci 25:645-674
Bruno G, Genovese A, Sgalambro A (2010) An agent-based framework for modeling and solving
location problems. TOP 18:81-96
Chang NB, Parvathinathanb G, Breedenc JB (2008) Combining GIS with fuzzy multicriteria
decision-making for landfill siting in a fast-growing urban region. J Environ Manag 87:139-153
