Spatial Analysis

Code:

MSIGOT031

Acronym:

AE

Instance: 2013/2014 - 2S

Active?	Yes
Responsible unit:	Department of Geography
Course/CS Responsible:	Masters in Geographical Information Systems and Spatial Planning

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MSIGOT	28	MSIGOT - Study Plan	1	-	6	-

Teaching language

Portuguese

Objectives

- Understand the definitions and concepts of spatial analysis; - Consolidate and deepen knowledge and handling practices with vector and raster GIS data; - Knowing and exercising spatial analysis operations with models of vector and raster data, - Being able to solve problems of multicriteria spatial analysis;  - Initiation to the concepts of spatial modeling.

Learning outcomes and competences

Consolidate and deepen knowledge and handling practices with vector and raster GIS data; - Knowing and exercising spatial analysis operations with models of vector and raster data, - Being able to solve problems of multicriteria spatial analysis 

Working method

Presencial

Program

INTRODUCTION

1.Spatial analysis: introduction, definitions and concepts.

1.1.Processos and operations;

1.2.Spatial analysis types;

1.3.Aplications;

1.4.Notation.

2.Models of vector and raster data. Key features and distinctions.

 

ANALYSIS AND SPACE FUNCTIONS WITH VECTOR DATA MODEL

1.Select vector and tabular data.

1.1.Select by attributes;

1.2.Selectby location (spatial relationships).

2. Tabular Junctions.

2.1.Based in geocodes;

2.2.Based  in spatial relationships.

3.Geometric operations in vector models

3.1.overlap;

3.2.aggregation;

3.3.generalization;

3.4.proximity;

3.5.extraction.

4. Batch processing.

5. Centrographics statistics.

6.Attributes transferencies between different geometries, concepts and simple techniques.

7. Indexes form.

8. Spatial autocorrelation.

8.1. First law of geography.

8.2. Measures of spatial autocorrelation: Moran coefficient.

 

ANALYSIS AND FUNCTION SPACE MODEL WITH DATA MATRIX

1.Concepts of resolution, mask and extent GIS matrix.

1.1. Conversions raster-vector and vector-raster.

1.2. Inquiries to raster data.

1.3. Inquiries to a raster images and more.

1.4. Space operations in matrix models.

1.4.1. Local functions;

-Functions overlap;

-Functions of reclassification;

-Statistical functions.

1.4.2. Functions of focal or neighborhood;

-Slopes, orientations, shading;

-Density Analysis (simple and kernel);

-Filters.

1.4.3.Funções zonal;

1.4.4. Global functions;

-Euclidean distances;

-Distances surfaces-cost;

-Buffer areas;

-Minimum-paths;

-Thiessen-Polygons;

-Watershed-vision.

2.Spatial interpolations.

2.1. Deterministic methods.

2.2. Inverse Distance Weighted.

3. Multicriteria analysis of raster models.

3.1. Basic concepts.

3.2. Boolean overlay.

3.3. Compensatory (weighted linear combination) and not compensatory analysis.

3.4. Distance to spot.

4. Hydrologic analysis in raster models.

4.1. Production of correct digital terrain models hydrologically.

4.2. Flow directions.

4.3. Flow accumulation and hydrographic network identification.

4.4. Hierarchy of the hydrographic network.

4.5. Identification of watersheds.

 

INTRODUCTION TO MODELING SPATIAL

1. Spatial modeling;

1.1. Concepts, definitions and applications;

1.2.Types of models;

1.3. Characteristics of good models;

1.4. The Model Builder ArcGIS.

Mandatory literature

Borderías, P. e Santos, J.M. ; Introducción al tratamiento de la información geográfica y resolución de problemas medioambientales y territoriales, UNED. Madrid., 1998
Bosque Sendra, J. ; Sistemas de Información Geográfica, Rialp. Madrid., 1999
Eastman, J.R., Kyem, P., Toledano, J. Y Jin, W. ; GIS and decision making, Ginebra, UNITAR. , 1993
Gómez, M. e Barredo, J.I. ; Sistemas de información geográfica y evaluación multicriterio en la ordenación del territorio, Ra-Ma. Madrid., 2005
Gutiérrez Puebla, J. e Gould, M. ; SIG. Sistemas de Información Geográfica, Síntesis. Madrid., 1994
Matos, J. M. ; Fundamentos de Informação Geográfica, Lidel – Edições Técnicas. Lisboa., 2001
Moreno, A. ; Sistemas y análisis de la información geográfica. Manual de autoprendizaje con ARC/GIS., Ra-Ma. Madrid., 2005
Smith, M.J., Goodchild, M.F. e Longley, P.A. ; Geospatial analysis: A comprehensive guide do principles, techniques and software tools. , Winchelsea Press. Leicester., 2007

Teaching methods and learning activities

Theory component: explanation of material followed by discussion; Practical component: production of individual work under lecturer supervision.

Software

ArcGis

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	0,00
Teste	75,00
Trabalho escrito	25,00
Total:	100,00

Eligibility for exams

Mandatory attendance of 75% of classes.

Calculation formula of final grade

Paper review about spatial analysis (25%); Mini theoretical and practical test (25%), Theorical-pratical test or individual practical work (50%).

Special assessment (TE, DA, ...)

Acoording to FLUP rules.