L1-Spatial Concepts L1 - Spatial Concepts

Size: px
Start display at page:

Download "L1-Spatial Concepts L1 - Spatial Concepts"

Transcription

1 L1 - Spatial Concepts NGEN06(TEK230) Algorithms in Geographical Information Systems

2 Aim Understand the relationship between spatial queries and mathematical concepts. Know how topological relationships are defined in GIS. Get knowledge about the relationshop between type of queries and suitable methods of storing geographic data.

3 Concept of Space Object model > set of objects (vector) Field-based model -> set of locations with properties (raster or grid) How do we store geographic data (geometry)?

4 Content 1. Spatial queries 2. Set-based queries 3. Topological queries 4. Graph-based queries 5. Metric queries 6. Euclidean queries 7. Storing relationships or deriving in real-time?

5 Spatial queries Set-based query: Is Uganda a country in Africa? Africa

6 Spatial Queries Topological queries Which countries are neighbours to Uganda? Africa Topological Relationships

7 Spatial Queries Graph-based queries How long is the traveling time from Uganda to Egypt? Africa Relationships between elements distance between elements

8 Spatial Queries Metric queries How long is the traveling distance from Uganda to Egypt? Africa Metrics

9 Spatial Queries Euclidean queries What is the area of Uganda?

10 Do we always need coordinates to answer spatial queries? L1-Spatial Concepts

11 We are not always relying on coordinates (or the Euclidean space) in GIS; by storing set-based, topological and graph-based data explicitely (without using coordinates) we can answer many spatial queries without considering coordinates.

12 Set-based queries Countries_in_africa ={Egypt, Uganda,...} Z={..., -2, -1, 0 1 2,...} R= the real numbers R 2 = R x R E= {x x R 2 0<x1<100, 0< x2<100 }

13 Set algebra Set Operations: Union Intersection Complement Logical Operators: OR AND NOT

14 Data structure to store set based data explicitely Is Uganda a country in Africa? Table: Countries_in_Africa Country Uganda Capital Kampala Etc. Egypt Cairo Nigeria Lagos Which standard SQL query can be used to answer this question?

15 Topological queries Topology is derived from the Greek and means the science of position. Topological Space: Set and a number of subsets (which follow certain rules)

16 Topological Relationships Using a rubber sheet (where all points, lines and areas are drawn), topological relationships are the properties that remain between the points, lines and areas for all possible kinds of deformation of the rubber sheet (except tearing). <- Rubber sheet transformation Examples: Point is inside a polygon Two lines intersect Not a topological relationship: an object is close to another (spatial relationship)

17 Topological transformation 1) There should be one-to-one correspondence between the elements in the original and transformed set (bijection). 2) Two points that are connected in the original set should also be connected in the transformed set.

18 Topological Relationships L1-Spatial Concepts

19 4-intersection model It is defined using the boundary and the interior or objects. This terminology is defined for cells (2 dimensional, connected sets without holes - closed) in R 2. A A A Connected Not Connected

20 4-intersection model Definitions of boundary and interiors of conected objects (A) in R 2 Boundary ( A ) Interior (A o ) Point Line Area The empty set The end points The line(s) that constitute the border of the area Point The line apart from the end points The area inside the border lines

21 Definitions of topological relationships (using the 4-intersection model) A disjoint B A contains B A meets B A covers B A inside B A equals B A coveredby B A overlaps B

22 Definitions of topological relationships (using the 4-intersection model) A B A 0 B 0 A B 0 A 0 B Topological relationship Ø Ø Ø Ø A disjoint B Ø Ø Ø Ø A meets B Ø Ø Ø Ø A equals B Ø Ø Ø Ø A inside B Ø Ø Ø Ø A coveredby B Ø Ø Ø Ø B inside A Ø Ø Ø Ø A covers B Ø Ø Ø Ø A overlaps B Ø = empty set Ø = not empty set

23 Other models of topological relationships 9-intersection model (DE-9IM) The 4-intersection model is actually not that suitable for line and/or point objects. DE-9IM was proposed to be an international standard by the International Standard Organization ISO Defines topological relationships using interior, exterior and boundary of objects. Program specific models

24 L1-Spatial Concepts Link-node structure

25 Graph-based queries Also called network queries They consider distances Shortest (fastest) route is a typical example. A graph space contains 2 things: A set Rules for distances between elements in the set.

26 Graph-based queries Traveling time between airports. The points (A, B,..., H) are airports (i.e. elements in the set airports). The edges denote that there are flight routes between the airports.

27 Graph-based and metric queries In a graph-based query there is no restriction on the distances between the elements in the set. Metric query is a sub-set of a graph-based query that set constrainst on the distances-> they must obey the rules of a metric.

28 Metric query A metric (d) is a distance measure between elements in a set. It has to obey the 3 following rules (where p,q, and r are elements in the set): 1. d(p,q)>=0, d(p,q)=0 p=q 2. d(p,q)=d(q,p) (symmetry) 3. d(p,q)<=d(p,r)+d(r,q) (triangle inequality)

29 Metric query There are an infinite number of metrics. Two of the most common metrics (in R 2 ) in GIS are: 1) Euclidean distance: 2 d ( p, q) = ( x - x ) + ( y p q p - y q ) 2 2) Manhattan distance: d(p,q)= xp- xq + yp- yq

30 Data structures to store graph-based data explicitely Graphs can be stored as matrixes. L1-Spatial Concepts Not recommended if there are much input data Relational databases Cannot handle recursive programming Lists and tree structures

31 Euclidean queries What is the distance between a building and a road? -> Require coordinates to be stored.

32 Storing relationships or deriving in real time? In some cases the relationships can be derived from stored coordinate data. Traveling distance (but not traveling time) Storing relationships: Advantages: It saves processing time Could enhance the quality of the answer Disadvantages: It takes more space in memory It entails redundancy (storing information twice)

33 Storing relationships or deriving in real time? A few things you should consider before you decide what relationships should be stored explicitely: What type of queries will the database serve? How will the database be mantained? Will the database will be connected to other databases? Will the deriving relationships be treated as own objects?

L3 Network Algorithms

L3 Network Algorithms L3 Network Algorithms NGEN06(TEK230) Algorithms in Geographical Information Systems by: Irene Rangel, updated Nov. 2015 by Abdulghani Hasan, Nov 2017 by Per-Ola Olsson Content 1. General issues of networks

More information

Planar Graphs. 1 Graphs and maps. 1.1 Planarity and duality

Planar Graphs. 1 Graphs and maps. 1.1 Planarity and duality Planar Graphs In the first half of this book, we consider mostly planar graphs and their geometric representations, mostly in the plane. We start with a survey of basic results on planar graphs. This chapter

More information

layers in a raster model

layers in a raster model layers in a raster model Layer 1 Layer 2 layers in an vector-based model (1) Layer 2 Layer 1 layers in an vector-based model (2) raster versus vector data model Raster model Vector model Simple data structure

More information

CSG obj. oper3. obj1 obj2 obj3. obj5. obj4

CSG obj. oper3. obj1 obj2 obj3. obj5. obj4 Solid Modeling Solid: Boundary + Interior Volume occupied by geometry Solid representation schemes Constructive Solid Geometry (CSG) Boundary representations (B-reps) Space-partition representations Operations

More information

TOWARDS A 3D SPATIAL QUERY LANGUAGE FOR BUILDING INFORMATION MODELS

TOWARDS A 3D SPATIAL QUERY LANGUAGE FOR BUILDING INFORMATION MODELS TOWARDS A D SPATIAL QUERY LANGUAGE FOR BUILDING INFORMATION MODELS André Borrmann 1, Christoph van Treeck 1, and Ernst Rank 1 ABSTRACT The paper introduces the concept of a spatial query language for building

More information

SPATIAL DATA MODELS Introduction to GIS Winter 2015

SPATIAL DATA MODELS Introduction to GIS Winter 2015 SPATIAL DATA MODELS Introduction to GIS Winter 2015 GIS Data Organization The basics Data can be organized in a variety of ways Spatial location, content (attributes), frequency of use Come up with a system

More information

M. Andrea Rodríguez-Tastets. I Semester 2008

M. Andrea Rodríguez-Tastets. I Semester 2008 M. -Tastets Universidad de Concepción,Chile andrea@udec.cl I Semester 2008 Outline refers to data with a location on the Earth s surface. Examples Census data Administrative boundaries of a country, state

More information

Lecturer 2: Spatial Concepts and Data Models

Lecturer 2: Spatial Concepts and Data Models Lecturer 2: Spatial Concepts and Data Models 2.1 Introduction 2.2 Models of Spatial Information 2.3 Three-Step Database Design 2.4 Extending ER with Spatial Concepts 2.5 Summary Learning Objectives Learning

More information

DERIVING TOPOLOGICAL RELATIONSHIPS BETWEEN SIMPLE REGIONS WITH HOLES

DERIVING TOPOLOGICAL RELATIONSHIPS BETWEEN SIMPLE REGIONS WITH HOLES DERIVING TOPOLOGICAL RELATIONSHIPS BETWEEN SIMPLE REGIONS WITH HOLES Mark McKenney, Reasey Praing, and Markus Schneider Department of Computer and Information Science & Engineering, University of Florida

More information

DATA MODELS IN GIS. Prachi Misra Sahoo I.A.S.R.I., New Delhi

DATA MODELS IN GIS. Prachi Misra Sahoo I.A.S.R.I., New Delhi DATA MODELS IN GIS Prachi Misra Sahoo I.A.S.R.I., New Delhi -110012 1. Introduction GIS depicts the real world through models involving geometry, attributes, relations, and data quality. Here the realization

More information

Sets. De Morgan s laws. Mappings. Definition. Definition

Sets. De Morgan s laws. Mappings. Definition. Definition Sets Let X and Y be two sets. Then the set A set is a collection of elements. Two sets are equal if they contain exactly the same elements. A is a subset of B (A B) if all the elements of A also belong

More information

Solids as point set. Solid models. Solid representation schemes (cont d) Solid representation schemes. Solid representation schemes (cont d)

Solids as point set. Solid models. Solid representation schemes (cont d) Solid representation schemes. Solid representation schemes (cont d) Solid models Solid models developed to address limitations of wireframe modeling. Attempt was to create systems which create only complete representations. Modelers would support direct creation of 3D

More information

GIS Data Models. 4/9/ GIS Data Models

GIS Data Models. 4/9/ GIS Data Models GIS Data Models 1 Conceptual models of the real world The real world can be described using two conceptually different models: 1. As discrete objects, possible to represent as points, lines or polygons.

More information

Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University

Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University Outline of Today Last week, we learned: Characteristics of spatial data Types of spatial data

More information

A Flavor of Topology. Shireen Elhabian and Aly A. Farag University of Louisville January 2010

A Flavor of Topology. Shireen Elhabian and Aly A. Farag University of Louisville January 2010 A Flavor of Topology Shireen Elhabian and Aly A. Farag University of Louisville January 2010 In 1670 s I believe that we need another analysis properly geometric or linear, which treats place directly

More information

Topological Relationships Between Map Geometries

Topological Relationships Between Map Geometries Topological Relationships Between Map Geometries Mark McKenney and Markus Schneider University of Florida, Department of Computer and Information Sciences {mm7,mschneid}@cise.ufl.edu Abstract. The importance

More information

Spatial Analysis and Modeling (GIST 4302/5302) Database Fundaments. Database. Review: Bits and Bytes

Spatial Analysis and Modeling (GIST 4302/5302) Database Fundaments. Database. Review: Bits and Bytes Spatial Analysis and Modeling (GIST 4302/5302) Database Fundaments Guofeng Cao Department of Geosciences Texas Tech University Review: Bits and Bytes Data stored in a computer system is measured in bits

More information

FINITE RESOLUTION CRISP AND FUZZY SPATIAL OBJECTS

FINITE RESOLUTION CRISP AND FUZZY SPATIAL OBJECTS FINITE RESOLUTION CRISP AND FUZZY SPATIAL OBJECTS Markus Schneider FernUniversität Hagen, Praktische Informatik IV 58084 Hagen, Germany markus.schneider@fernuni-hagen.de ABSTRACT Uncertainty management

More information

Lecture 6: GIS Spatial Analysis. GE 118: INTRODUCTION TO GIS Engr. Meriam M. Santillan Caraga State University

Lecture 6: GIS Spatial Analysis. GE 118: INTRODUCTION TO GIS Engr. Meriam M. Santillan Caraga State University Lecture 6: GIS Spatial Analysis GE 118: INTRODUCTION TO GIS Engr. Meriam M. Santillan Caraga State University 1 Spatial Data It can be most simply defined as information that describes the distribution

More information

Computational Geometry

Computational Geometry Lecture 1: Introduction and convex hulls Geometry: points, lines,... Geometric objects Geometric relations Combinatorial complexity Computational geometry Plane (two-dimensional), R 2 Space (three-dimensional),

More information

Topological Relationships between Complex Spatial Objects

Topological Relationships between Complex Spatial Objects Topological Relationships between Complex Spatial Objects Markus Schneider University of Florida Department of Computer & Information Science & Engineering Gainesville, FL 32611, USA mschneid@cise.ufl.edu

More information

Chapter 11. Topological Spaces: General Properties

Chapter 11. Topological Spaces: General Properties 11.1. Open Sets, Closed Sets, Bases, and Subbases 1 Chapter 11. Topological Spaces: General Properties Section 11.1. Open Sets, Closed Sets, Bases, and Subbases Note. In this section, we define a topological

More information

SOME 024: Computer Aided Design. E. Rozos

SOME 024: Computer Aided Design. E. Rozos SOME 024: Computer Aided Design E. Rozos Introduction to CAD theory part 2 Lesson structure Why Solid modelling Solid modelling methods Representation based Manufacturing based Solid modelling storage

More information

Data handling 2: Transformations

Data handling 2: Transformations Intro Geo information Science (GRS 10306) Data handling 2: Transformations 2009/2010 CGI GIRS Transformation definition Query a data handling class of operators which doesn t change the thematic and geometric

More information

Multidimensional Data and Modelling

Multidimensional Data and Modelling Multidimensional Data and Modelling 1 Problems of multidimensional data structures l multidimensional (md-data or spatial) data and their implementation of operations between objects (spatial data practically

More information

Chapter 2: Spatial Concepts and Data Models 2.1 Introduction 2.2 Models of Spatial Information. 2.4 Extending ER with Spatial Concepts 2.

Chapter 2: Spatial Concepts and Data Models 2.1 Introduction 2.2 Models of Spatial Information. 2.4 Extending ER with Spatial Concepts 2. Chapter 2: Spatial Concepts and Data Models 2. Introduction 2.2 Models of Spatial Information 2.3 Three-Step Database Design 2.4 Extending ER with Spatial Concepts 2.5 Summary What is a Data Model? What

More information

SVENSK STANDARD SS-ISO :2004. Geografisk information Hantering av enklare objekt Del 1: Arkitektur (ISO :2004, IDT)

SVENSK STANDARD SS-ISO :2004. Geografisk information Hantering av enklare objekt Del 1: Arkitektur (ISO :2004, IDT) SVENSK STANDARD Fastställd 2004-09-24 Utgåva 1 Geografisk information Hantering av enklare objekt Del 1: Arkitektur (ISO 19125-1:2004, IDT) Geographic information Simple feature access Part 1: Common architecture

More information

4.0 DIGITIZATION, EDITING AND STRUCTURING OF MAP DATA

4.0 DIGITIZATION, EDITING AND STRUCTURING OF MAP DATA .0 DIGITIZATION, EDITING AND STRUCTURING OF MAP DATA The process of digitizing existing maps is a transformation from one analog) form of information to another digital) form. Data input is the operation

More information

MSc Geomatics thesis presentation. Validation and automatic repair of planar partitions using a constrained triangulation.

MSc Geomatics thesis presentation. Validation and automatic repair of planar partitions using a constrained triangulation. MSc Geomatics thesis presentation Validation and automatic repair of planar partitions using a constrained triangulation Ken Arroyo Ohori Friday, 27 August 2010 at 10:00 Grote Vergaderzaal OTB Research

More information

Introduction to the Dimensionally Extended 9 Intersection Model (DE-9IM) in PostgreSQL/PostGIS Tutorial

Introduction to the Dimensionally Extended 9 Intersection Model (DE-9IM) in PostgreSQL/PostGIS Tutorial Introduction to the Dimensionally Extended 9 Intersection Model (DE-9IM) in PostgreSQL/PostGIS Tutorial Germán Carrillo gcarrillo@uni-muenster.de geotux_tuxman@linuxmail.org Objectives Following this tutorial

More information

LECTURE 2 SPATIAL DATA MODELS

LECTURE 2 SPATIAL DATA MODELS LECTURE 2 SPATIAL DATA MODELS Computers and GIS cannot directly be applied to the real world: a data gathering step comes first. Digital computers operate in numbers and characters held internally as binary

More information

Implementing Topological Predicates for Complex Regions Introduction

Implementing Topological Predicates for Complex Regions Introduction Implementing Topological Predicates for Complex Regions Markus Schneider University of Florida Department of Computer and Information Science and Engineering Gainesville, FL 326, USA mschneid@cise.ufl.edu

More information

Computational Geometry. Algorithm Design (10) Computational Geometry. Convex Hull. Areas in Computational Geometry

Computational Geometry. Algorithm Design (10) Computational Geometry. Convex Hull. Areas in Computational Geometry Computational Geometry Algorithm Design (10) Computational Geometry Graduate School of Engineering Takashi Chikayama Algorithms formulated as geometry problems Broad application areas Computer Graphics,

More information

Essential Understandings

Essential Understandings Understandings Questions Basic properties about lines, angles, two- and three-dimensional figures can be used to solve a variety of theoretical and practical problems. What are the various relationships

More information

EULER S FORMULA AND THE FIVE COLOR THEOREM

EULER S FORMULA AND THE FIVE COLOR THEOREM EULER S FORMULA AND THE FIVE COLOR THEOREM MIN JAE SONG Abstract. In this paper, we will define the necessary concepts to formulate map coloring problems. Then, we will prove Euler s formula and apply

More information

γ 2 γ 3 γ 1 R 2 (b) a bounded Yin set (a) an unbounded Yin set

γ 2 γ 3 γ 1 R 2 (b) a bounded Yin set (a) an unbounded Yin set γ 1 γ 3 γ γ 3 γ γ 1 R (a) an unbounded Yin set (b) a bounded Yin set Fig..1: Jordan curve representation of a connected Yin set M R. A shaded region represents M and the dashed curves its boundary M that

More information

Secrets of the JTS Topology Suite

Secrets of the JTS Topology Suite Secrets of the JTS Topology Suite Martin Davis Refractions Research Inc. Overview of presentation Survey of JTS functions and components Tips for using JTS as an engine for processing Geometry Tips for

More information

Analytical and Computer Cartography Winter Lecture 9: Geometric Map Transformations

Analytical and Computer Cartography Winter Lecture 9: Geometric Map Transformations Analytical and Computer Cartography Winter 2017 Lecture 9: Geometric Map Transformations Cartographic Transformations Attribute Data (e.g. classification) Locational properties (e.g. projection) Graphics

More information

Understanding Geospatial Data Models

Understanding Geospatial Data Models Understanding Geospatial Data Models 1 A geospatial data model is a formal means of representing spatially referenced information. It is a simplified view of physical entities and a conceptualization of

More information

Chapter 12 Solid Modeling. Disadvantages of wireframe representations

Chapter 12 Solid Modeling. Disadvantages of wireframe representations Chapter 12 Solid Modeling Wireframe, surface, solid modeling Solid modeling gives a complete and unambiguous definition of an object, describing not only the shape of the boundaries but also the object

More information

Digital Image Fundamentals II

Digital Image Fundamentals II Digital Image Fundamentals II 1. Image modeling and representations 2. Pixels and Pixel relations 3. Arithmetic operations of images 4. Image geometry operation 5. Image processing with Matlab - Image

More information

Computing the Topological Relationship of Complex Regions

Computing the Topological Relationship of Complex Regions Computing the Topological Relationship of Complex Regions Markus Schneider University of Florida epartment of Computer & Information Science & Engineering Gainesville, FL 32611, USA mschneid@cise.ufl.edu

More information

Introduction to Algebraic and Geometric Topology Week 5

Introduction to Algebraic and Geometric Topology Week 5 Introduction to Algebraic and Geometric Topology Week 5 Domingo Toledo University of Utah Fall 2017 Topology of Metric Spaces I (X, d) metric space. I Recall the definition of Open sets: Definition U

More information

CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS

CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS 1 UNIT I INTRODUCTION CS6702 GRAPH THEORY AND APPLICATIONS 2 MARKS QUESTIONS AND ANSWERS 1. Define Graph. A graph G = (V, E) consists

More information

Semantics and Ontologies for Geospatial Information. Dr Kristin Stock

Semantics and Ontologies for Geospatial Information. Dr Kristin Stock Semantics and Ontologies for Geospatial Information Dr Kristin Stock Introduction The study of semantics addresses the issue of what data means, including: 1. The meaning and nature of basic geospatial

More information

Final Exam, F11PE Solutions, Topology, Autumn 2011

Final Exam, F11PE Solutions, Topology, Autumn 2011 Final Exam, F11PE Solutions, Topology, Autumn 2011 Question 1 (i) Given a metric space (X, d), define what it means for a set to be open in the associated metric topology. Solution: A set U X is open if,

More information

Boardworks Ltd KS3 Mathematics. S1 Lines and Angles

Boardworks Ltd KS3 Mathematics. S1 Lines and Angles 1 KS3 Mathematics S1 Lines and Angles 2 Contents S1 Lines and angles S1.1 Labelling lines and angles S1.2 Parallel and perpendicular lines S1.3 Calculating angles S1.4 Angles in polygons 3 Lines In Mathematics,

More information

Spatial Data Models. Raster uses individual cells in a matrix, or grid, format to represent real world entities

Spatial Data Models. Raster uses individual cells in a matrix, or grid, format to represent real world entities Spatial Data Models Raster uses individual cells in a matrix, or grid, format to represent real world entities Vector uses coordinates to store the shape of spatial data objects David Tenenbaum GEOG 7

More information

Lecture 8. Vector Data Analyses. Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University

Lecture 8. Vector Data Analyses. Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University Lecture 8 Vector Data Analyses Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University Vector Data Analysis Vector data analysis involves one or a combination of: Measuring

More information

Lecture: Segmentation I FMAN30: Medical Image Analysis. Anders Heyden

Lecture: Segmentation I FMAN30: Medical Image Analysis. Anders Heyden Lecture: Segmentation I FMAN30: Medical Image Analysis Anders Heyden 2017-11-13 Content What is segmentation? Motivation Segmentation methods Contour-based Voxel/pixel-based Discussion What is segmentation?

More information

Introduction to Spatial Database Systems. Outline

Introduction to Spatial Database Systems. Outline Introduction to Spatial Database Systems by Cyrus Shahabi from Ralf Hart Hartmut Guting s VLDB Journal v3, n4, October 1994 1 Outline Introduction & definition Modeling Querying Data structures and algorithms

More information

Interpolation is a basic tool used extensively in tasks such as zooming, shrinking, rotating, and geometric corrections.

Interpolation is a basic tool used extensively in tasks such as zooming, shrinking, rotating, and geometric corrections. Image Interpolation 48 Interpolation is a basic tool used extensively in tasks such as zooming, shrinking, rotating, and geometric corrections. Fundamentally, interpolation is the process of using known

More information

pine cone Ratio = 13:8 or 8:5

pine cone Ratio = 13:8 or 8:5 Chapter 10: Introducing Geometry 10.1 Basic Ideas of Geometry Geometry is everywhere o Road signs o Carpentry o Architecture o Interior design o Advertising o Art o Science Understanding and appreciating

More information

Generell Topologi. Richard Williamson. May 27, 2013

Generell Topologi. Richard Williamson. May 27, 2013 Generell Topologi Richard Williamson May 27, 2013 1 1 Tuesday 15th January 1.1 Topological spaces definition, terminology, finite examples Definition 1.1. A topological space is a pair (X, O) of a set

More information

Topic 5: Raster and Vector Data Models

Topic 5: Raster and Vector Data Models Geography 38/42:286 GIS 1 Topic 5: Raster and Vector Data Models Chapters 3 & 4: Chang (Chapter 4: DeMers) 1 The Nature of Geographic Data Most features or phenomena occur as either: discrete entities

More information

Non-Bayesian Classifiers Part I: k-nearest Neighbor Classifier and Distance Functions

Non-Bayesian Classifiers Part I: k-nearest Neighbor Classifier and Distance Functions Non-Bayesian Classifiers Part I: k-nearest Neighbor Classifier and Distance Functions Selim Aksoy Department of Computer Engineering Bilkent University saksoy@cs.bilkent.edu.tr CS 551, Fall 2017 CS 551,

More information

visual boundary (a) a vector format region (b) a raster format region region b region a Boundary Interior of region a Interior of region b

visual boundary (a) a vector format region (b) a raster format region region b region a Boundary Interior of region a Interior of region b A Spatial Algebra for Content-based Retrieval Mohan S. Kankanhalli Jiang Xunda Jiankang Wu Real World Computing Partnership, Novel Function ISS Laboratory Institute of Systems Science, National University

More information

UPEM Master 2 Informatique SIS. Digital Geometry. Topic 2: Digital topology: object boundaries and curves/surfaces. Yukiko Kenmochi.

UPEM Master 2 Informatique SIS. Digital Geometry. Topic 2: Digital topology: object boundaries and curves/surfaces. Yukiko Kenmochi. UPEM Master 2 Informatique SIS Digital Geometry Topic 2: Digital topology: object boundaries and curves/surfaces Yukiko Kenmochi October 5, 2016 Digital Geometry : Topic 2 1/34 Opening Representations

More information

Topology Homework 3. Section Section 3.3. Samuel Otten

Topology Homework 3. Section Section 3.3. Samuel Otten Topology Homework 3 Section 3.1 - Section 3.3 Samuel Otten 3.1 (1) Proposition. The intersection of finitely many open sets is open and the union of finitely many closed sets is closed. Proof. Note that

More information

DERIVING SPATIOTEMPORAL RELATIONS FROM SIMPLE DATA STRUCTURE

DERIVING SPATIOTEMPORAL RELATIONS FROM SIMPLE DATA STRUCTURE DERIVING SPATIOTEMPORAL RELATIONS FROM SIMPLE DATA STRUCTURE Ale Raza ESRI 380 New York Street, Redlands, California 9373-800, USA Tel.: +-909-793-853 (extension 009) Fax: +-909-307-3067 araza@esri.com

More information

DEVELOPING A THREE-DIMENSIONAL TOPOLOGICAL DATA MODEL

DEVELOPING A THREE-DIMENSIONAL TOPOLOGICAL DATA MODEL DEVELOPING A THREE-DIMENSIONAL TOPOLOGICAL DATA MODEL Saadi MESGARI International Institute for Aerospace Survey and Earth Sciences (ITC) The Netherlands Mesgari@itc.nl Working Group IC/16 KEY WORDS: Data

More information

Lecture 5: Simplicial Complex

Lecture 5: Simplicial Complex Lecture 5: Simplicial Complex 2-Manifolds, Simplex and Simplicial Complex Scribed by: Lei Wang First part of this lecture finishes 2-Manifolds. Rest part of this lecture talks about simplicial complex.

More information

Determining Differences between Two Sets of Polygons

Determining Differences between Two Sets of Polygons Determining Differences between Two Sets of Polygons MATEJ GOMBOŠI, BORUT ŽALIK Institute for Computer Science Faculty of Electrical Engineering and Computer Science, University of Maribor Smetanova 7,

More information

Overview.! Manual Digitizing! Heads-up Digitizing! Common Errors! Summary! Heads-up Digitizing Tutorial

Overview.! Manual Digitizing! Heads-up Digitizing! Common Errors! Summary! Heads-up Digitizing Tutorial Digitizing Overview! Manual Digitizing! Heads-up Digitizing! Common Errors! Summary! Heads-up Digitizing Tutorial Manual Digitizing! Simplest, easiest, and cheapest method of capturing vector data from

More information

2.8. Connectedness A topological space X is said to be disconnected if X is the disjoint union of two non-empty open subsets. The space X is said to

2.8. Connectedness A topological space X is said to be disconnected if X is the disjoint union of two non-empty open subsets. The space X is said to 2.8. Connectedness A topological space X is said to be disconnected if X is the disjoint union of two non-empty open subsets. The space X is said to be connected if it is not disconnected. A subset of

More information

Polygon Filling. Can write frame buffer one word at time rather than one bit. 2/3/2000 CS 4/57101 Lecture 6 1

Polygon Filling. Can write frame buffer one word at time rather than one bit. 2/3/2000 CS 4/57101 Lecture 6 1 Polygon Filling 2 parts to task which pixels to fill what to fill them with First consider filling unclipped primitives with solid color Which pixels to fill consider scan lines that intersect primitive

More information

Discrete mathematics II. - Graphs

Discrete mathematics II. - Graphs Emil Vatai April 25, 2018 Basic definitions Definition of an undirected graph Definition (Undirected graph) An undirected graph or (just) a graph is a triplet G = (ϕ, E, V ), where V is the set of vertices,

More information

1.1 - Introduction to Sets

1.1 - Introduction to Sets 1.1 - Introduction to Sets Math 166-502 Blake Boudreaux Department of Mathematics Texas A&M University January 18, 2018 Blake Boudreaux (Texas A&M University) 1.1 - Introduction to Sets January 18, 2018

More information

1 Euler characteristics

1 Euler characteristics Tutorials: MA342: Tutorial Problems 2014-15 Tuesday, 1-2pm, Venue = AC214 Wednesday, 2-3pm, Venue = AC201 Tutor: Adib Makroon 1 Euler characteristics 1. Draw a graph on a sphere S 2 PROBLEMS in such a

More information

Taibah University College of Computer Science & Engineering Course Title: Discrete Mathematics Code: CS 103. Chapter 2. Sets

Taibah University College of Computer Science & Engineering Course Title: Discrete Mathematics Code: CS 103. Chapter 2. Sets Taibah University College of Computer Science & Engineering Course Title: Discrete Mathematics Code: CS 103 Chapter 2 Sets Slides are adopted from Discrete Mathematics and It's Applications Kenneth H.

More information

Dipartimento di Informatica e Scienze dell Informazione

Dipartimento di Informatica e Scienze dell Informazione Dipartimento di Informatica e Scienze dell Informazione Query Processing and Analysis of Multi-resolution Spatial Data in Distributed Architectures by Paola Podestà Theses Series DISI-TH-21-3 DISI, Università

More information

Spa$al Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University

Spa$al Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University Spa$al Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University Class Outlines Spatial Point Pattern Regional Data (Areal Data) Continuous Spatial Data (Geostatistical

More information

This image cannot currently be displayed. Course Catalog. Pre-algebra Glynlyon, Inc.

This image cannot currently be displayed. Course Catalog. Pre-algebra Glynlyon, Inc. This image cannot currently be displayed. Course Catalog Pre-algebra 2016 Glynlyon, Inc. Table of Contents COURSE OVERVIEW... 1 UNIT 1: THE REAL NUMBER SYSTEM... 1 UNIT 2: MODELING PROBLEMS IN INTEGERS...

More information

Sets MAT231. Fall Transition to Higher Mathematics. MAT231 (Transition to Higher Math) Sets Fall / 31

Sets MAT231. Fall Transition to Higher Mathematics. MAT231 (Transition to Higher Math) Sets Fall / 31 Sets MAT231 Transition to Higher Mathematics Fall 2014 MAT231 (Transition to Higher Math) Sets Fall 2014 1 / 31 Outline 1 Sets Introduction Cartesian Products Subsets Power Sets Union, Intersection, Difference

More information

Scalar Algorithms: Contouring

Scalar Algorithms: Contouring Scalar Algorithms: Contouring Computer Animation and Visualisation Lecture tkomura@inf.ed.ac.uk Institute for Perception, Action & Behaviour School of Informatics Contouring Scaler Data Last Lecture...

More information

M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements.

M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements. M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements. Chapter 1: Metric spaces and convergence. (1.1) Recall the standard distance function

More information

Math 734 Aug 22, Differential Geometry Fall 2002, USC

Math 734 Aug 22, Differential Geometry Fall 2002, USC Math 734 Aug 22, 2002 1 Differential Geometry Fall 2002, USC Lecture Notes 1 1 Topological Manifolds The basic objects of study in this class are manifolds. Roughly speaking, these are objects which locally

More information

Topological Data Analysis - I. Afra Zomorodian Department of Computer Science Dartmouth College

Topological Data Analysis - I. Afra Zomorodian Department of Computer Science Dartmouth College Topological Data Analysis - I Afra Zomorodian Department of Computer Science Dartmouth College September 3, 2007 1 Acquisition Vision: Images (2D) GIS: Terrains (3D) Graphics: Surfaces (3D) Medicine: MRI

More information

Curriculum Catalog

Curriculum Catalog 2017-2018 Curriculum Catalog 2017 Glynlyon, Inc. Table of Contents MATHEMATICS 800 FUNDAMENTALS COURSE OVERVIEW... 1 UNIT 1: THE REAL NUMBER SYSTEM... 1 UNIT 2: MODELING PROBLEMS IN INTEGERS... 2 UNIT

More information

OPERATORS FOR CELL TUPLE-BASED SPATIOTEMPORAL DATA MODEL

OPERATORS FOR CELL TUPLE-BASED SPATIOTEMPORAL DATA MODEL OPERTORS FOR CELL TUPLE-BSED SPTIOTEMPORL DT MODEL le Raza ESRI 80 New York Street, Redlands, California 97-800, US Tel.: +-909-79-85 (ext. 009) Fax: +-909-07-067 araza@esri.com Commission IV, WG IV/ KEY

More information

Other Voronoi/Delaunay Structures

Other Voronoi/Delaunay Structures Other Voronoi/Delaunay Structures Overview Alpha hulls (a subset of Delaunay graph) Extension of Voronoi Diagrams Convex Hull What is it good for? The bounding region of a point set Not so good for describing

More information

Lecture overview. Visualisatie BMT. Fundamental algorithms. Visualization pipeline. Structural classification - 1. Structural classification - 2

Lecture overview. Visualisatie BMT. Fundamental algorithms. Visualization pipeline. Structural classification - 1. Structural classification - 2 Visualisatie BMT Fundamental algorithms Arjan Kok a.j.f.kok@tue.nl Lecture overview Classification of algorithms Scalar algorithms Vector algorithms Tensor algorithms Modeling algorithms 1 2 Visualization

More information

Pebble Sets in Convex Polygons

Pebble Sets in Convex Polygons 2 1 Pebble Sets in Convex Polygons Kevin Iga, Randall Maddox June 15, 2005 Abstract Lukács and András posed the problem of showing the existence of a set of n 2 points in the interior of a convex n-gon

More information

Conjectures concerning the geometry of 2-point Centroidal Voronoi Tessellations

Conjectures concerning the geometry of 2-point Centroidal Voronoi Tessellations Conjectures concerning the geometry of 2-point Centroidal Voronoi Tessellations Emma Twersky May 2017 Abstract This paper is an exploration into centroidal Voronoi tessellations, or CVTs. A centroidal

More information

Representing Geography

Representing Geography Data models and axioms Chapters 3 and 7 Representing Geography Road map Representing the real world Conceptual models: objects vs fields Implementation models: vector vs raster Vector topological model

More information

CS 532: 3D Computer Vision 11 th Set of Notes

CS 532: 3D Computer Vision 11 th Set of Notes 1 CS 532: 3D Computer Vision 11 th Set of Notes Instructor: Philippos Mordohai Webpage: www.cs.stevens.edu/~mordohai E-mail: Philippos.Mordohai@stevens.edu Office: Lieb 215 Lecture Outline Line Intersection

More information

Geometric Modeling. Introduction

Geometric Modeling. Introduction Geometric Modeling Introduction Geometric modeling is as important to CAD as governing equilibrium equations to classical engineering fields as mechanics and thermal fluids. intelligent decision on the

More information

Linear Programming. Presentation for use with the textbook, Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, 2015

Linear Programming. Presentation for use with the textbook, Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, 2015 Presentation for use with the textbook, Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, 2015 Linear Programming 2015 Goodrich and Tamassia 1 Formulating the Problem q The function

More information

Curriculum Catalog

Curriculum Catalog 2018-2019 Curriculum Catalog Table of Contents MATHEMATICS 800 COURSE OVERVIEW... 1 UNIT 1: THE REAL NUMBER SYSTEM... 1 UNIT 2: MODELING PROBLEMS IN INTEGERS... 3 UNIT 3: MODELING PROBLEMS WITH RATIONAL

More information

Geographic Information Systems. using QGIS

Geographic Information Systems. using QGIS Geographic Information Systems using QGIS 1 - INTRODUCTION Generalities A GIS (Geographic Information System) consists of: -Computer hardware -Computer software - Digital Data Generalities GIS softwares

More information

Topology notes. Basic Definitions and Properties.

Topology notes. Basic Definitions and Properties. Topology notes. Basic Definitions and Properties. Intuitively, a topological space consists of a set of points and a collection of special sets called open sets that provide information on how these points

More information

Lecture notes: Object modeling

Lecture notes: Object modeling Lecture notes: Object modeling One of the classic problems in computer vision is to construct a model of an object from an image of the object. An object model has the following general principles: Compact

More information

Walheer Barnabé. Topics in Mathematics Practical Session 2 - Topology & Convex

Walheer Barnabé. Topics in Mathematics Practical Session 2 - Topology & Convex Topics in Mathematics Practical Session 2 - Topology & Convex Sets Outline (i) Set membership and set operations (ii) Closed and open balls/sets (iii) Points (iv) Sets (v) Convex Sets Set Membership and

More information

Data handling 3: Alter Process

Data handling 3: Alter Process Introduction Geo information Science (GRS 10306) Data handling 3: Alter Process 2009/2010 CGI GIRS 2 Alter / process / analysis / operations definition Query a data handling class of operators which doesn

More information

The convex hull of a set Q of points is the smallest convex polygon P for which each point in Q is either on the boundary of P or in its interior.

The convex hull of a set Q of points is the smallest convex polygon P for which each point in Q is either on the boundary of P or in its interior. CS 312, Winter 2007 Project #1: Convex Hull Due Dates: See class schedule Overview: In this project, you will implement a divide and conquer algorithm for finding the convex hull of a set of points and

More information

An Introduction to Spatial Databases

An Introduction to Spatial Databases An Introduction to Spatial Databases R. H. Guting VLDB Journal v3, n4, October 1994 Speaker: Giovanni Conforti Outline: a rather old (but quite complete) survey on Spatial DBMS Introduction & definition

More information

9. Three Dimensional Object Representations

9. Three Dimensional Object Representations 9. Three Dimensional Object Representations Methods: Polygon and Quadric surfaces: For simple Euclidean objects Spline surfaces and construction: For curved surfaces Procedural methods: Eg. Fractals, Particle

More information

Contents. Lines, angles and polygons: Parallel lines and angles. Triangles. Quadrilaterals. Angles in polygons. Congruence.

Contents. Lines, angles and polygons: Parallel lines and angles. Triangles. Quadrilaterals. Angles in polygons. Congruence. Colegio Herma. Maths Bilingual Departament Isabel Martos Martínez. 2015 Contents Lines, angles and polygons: Parallel lines and angles Triangles Quadrilaterals Angles in polygons Congruence Similarity

More information

Advanced Data Types and New Applications

Advanced Data Types and New Applications Advanced Data Types and New Applications These slides are a modified version of the slides of the book Database System Concepts (Chapter 24), 5th Ed., McGraw-Hill, by Silberschatz, Korth and Sudarshan.

More information

CURRICULUM CATALOG. CCR Mathematics Grade 8 (270720) MS

CURRICULUM CATALOG. CCR Mathematics Grade 8 (270720) MS 2018-19 CURRICULUM CATALOG Table of Contents COURSE OVERVIEW... 1 UNIT 1: THE REAL NUMBER SYSTEM... 2 UNIT 2: MODELING PROBLEMS IN INTEGERS... 2 UNIT 3: MODELING PROBLEMS WITH RATIONAL NUMBERS... 2 UNIT

More information