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Www.geoinformatics.upol.cz CURRENT GISc CHALLENGE: getting better in technological skills, but still remaining a geographer Vít Voženílek.

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Presentation on theme: "Www.geoinformatics.upol.cz CURRENT GISc CHALLENGE: getting better in technological skills, but still remaining a geographer Vít Voženílek."— Presentation transcript:

1 www.geoinformatics.upol.cz CURRENT GISc CHALLENGE: getting better in technological skills, but still remaining a geographer Vít Voženílek

2 www.geoinformatics.upol.cz Where are we? GeographyGISGISc time technical development ability to talk/work/think technically

3 www.geoinformatics.upol.cz Geographic knowledge has evolved from phenomenal (declarative) to intellectual (primed by cognitive demands) and is still progressing. Geographic information science (GISc) is the academic theory behind the development, use, and application of geographic information.

4 www.geoinformatics.upol.cz J.E. Dobson (1983): analytical methods and computer technology for spatial analysis have advanced rapidly and that geographers have to consider a general form of automated geography which integrates all of the new techniques into an analytical whole R. J. Bennett (1985): geography cannot evolve through a pluralism of positivism and radical methodologies. Instead, it must return to its roots and revive its concern with the interrelationship of environmental and social concern within place, area, or context

5 www.geoinformatics.upol.cz K. Yano (2000): quantitative geography is essential for the further expansion of GIS within geography and also for the survival of geography P. Longley (2000): Geography has been a consumer, not producer, of mainstream GIS software, and as such GIS may even contribute towards accelerated de-skilling of the discipline

6 www.geoinformatics.upol.cz M.M. Hall and C.B. Jones (2008): a lack of quantitative data and models for vague spatial relations H.J. Miller and S. Bridwell (2009): presented an analytical time geographic theory for the case where travel velocities vary continuously across space

7 www.geoinformatics.upol.cz J.A. Long and T.A. Nelson (2013): reviewed existing quantitative methods for analysing movement data and identified seven classes of methods: – time geography – path descriptors – similarity indices – pattern and cluster methods – individual-group dynamics – spatial field methods – spatial range methods

8 www.geoinformatics.upol.cz

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11 http://www.igu-online.org/

12 www.geoinformatics.upol.cz BUT STILL REMAIN A GEOGRAPHER! Get better in technological skills,


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