Approach to key concepts for understanding the nature of geographic information and Geographic Information Systems. Identify the importance of Geographic Information Systems in the present and in the future. Use of GIS software, for practical application of the concepts covered. Visa, moreover, provide students with a set of statistical tools that help investigators to better identify spatial patterns observable in natural or natural-anthropogenic variables. Importance to a group of models that allow the diagnosis of cause-effect relationships in the study area will also be given. Finally aims to meet regulatory instruments of the territory. Being able to relate a regulatory with its territorial expression text.
1. Introduction and Concepts
2. Coordinate systems in cartography
3. Geographic modeling
4. Data acquisition
5. Features of SGI
Module I: Concepts
2. Module II: Introduction Data in ArcView
3. Module III: Visualization In Themes
4. Module IV: Working With Tables
5. Module VI: Spatial Analysis
6. Module VII: From Creation Layout
Nature of Geographic Information;
Statistical inference for spatial data;
Correlation: Robust Methods;
Multivariate Linear Regression Models;
Introduction to Planning and Spatial Planning. General notions; Objectives; Principles and Planning Process.
Evolution of Policy Planning and Ambiente. Agenda 21 and Environmental Planning
Information available soon.
Aronoff, S. (1989) Geographic Information Systems: a management perspective (Ottawa, Canada: WDL Publications).
Burrough, P. A. (1994) Principles of Geographical information Systems for Land Resources Assessment. Oxford Science Publications.
Maguire, D. J., Goodchild, M. F. & Rhind, D. W. (1992) Geographical Information System. Longman Scientific & Technical.
Matos, J. (2001) Fundamentos de Informação Geográfica. Lidel.
Neto, P. L. (1998) Sistemas de Informação Geográfica. FCA-Editora de Informática.
Shaw, G. & Wheller, D. (1997) Statistical Techniques in Geographical Analysis. David Fulton Publishers.
Gujarati, D. (1995). Basic Econometrics. 3ª Edição, McGraw-Hill.