CS 128/ES 228 - Lecture 5b1 Vector Based Data. CS 128/ES 228 - Lecture 5b2 Spatial data models 1.Raster 2.Vector 3.Object-oriented Spatial data formats:

Slides:



Advertisements
Similar presentations
Data Models There are 3 parts to a GIS: GUI Tools
Advertisements

WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
GIS for Environmental Science
CS 128/ES Lecture 5a1 Working with Rasters.
Spatial Analysis – vector data analysis
Raster Based GIS Analysis
University of Wisconsin-Milwaukee Geographic Information Science Geography 625 Intermediate Geographic Information Science Instructor: Changshan Wu Department.
CS 128/ES Lecture 4b1 Spatial Data Formats.
CS 128/ES Lecture 12b1 Spatial Analysis (3D)
CS 128/ES Lecture 5b1 Vector Based Data. Great Rivalries in History Lincoln vs. Douglas “The first great Presidential Debates” Trekkies vs. Jedis.
CS 128/ES Lecture 4b1 Spatial Data Formats.
CS 128/ES Lecture 12b1 Spatial Analysis (3D)
Cartographic and GIS Data Structures
Lecture 4: Intro to the Vector Data Model and to Map Layout
Geographic Information Systems
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Understanding Spatial Data Structures by Austin Troy, University of Vermont.
CS 128/ES Lecture 5a1 Raster Formats (II). CS 128/ES Lecture 5a2 Spatial modeling in raster format  Basic entity is the cell  Region represented.
Geographic Information Systems. What is a Geographic Information System (GIS)? A GIS is a particular form of Information System applied to geographical.
CS 128/ES Lecture 6a1 Attribute Data CampusIDNameTypeFloorsFootprint 6MurphyAcademic HopkinsSupport MaintenanceSupport HickeySupport22367.
CS 128/ES Lecture 5a1 Working with Rasters.
Geographic Information Systems : Data Types, Sources and the ArcView Program.
PROCESS IN DATA SYSTEMS PLANNING DATA INPUT DATA STORAGE DATA ANALYSIS DATA OUTPUT ACTIVITIES USER NEEDS.
CS 128/ES Lecture 5a1 Raster Formats (II). CS 128/ES Lecture 5a2 Spatial modeling in raster format  Basic entity is the cell  Region represented.
So What is GIS??? “A collection of computer hardware, software and procedures that are used to organize, manage, analyze and display.
GTECH 361 Lecture 02 Introduction to ArcGIS. Today’s Objectives explore a map and get information about map features preview geographic data and metadata.
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Part 1. Understanding Spatial Data Structures by Austin Troy, University of Vermont.
CS 128/ES Lecture 4b1 Spatial Data Formats.
GIS Introduction What is GIS?. Geographic Information Systems A database system in which the organizing principle is explicitly SPATIAL.
CS 128/ES Lecture 6a1 Attribute Data CampusIDNameTypeFloorsFootprint 6MurphyAcademic HopkinsSupport MaintenanceSupport HickeySupport22367.
Introduction to GIS fGRG360G – Summer Geographic Information System Text Computer system GIS software Brainware Infrastructure Ray Hardware Software.
Geographic Information Systems
Raster and Vector 2 Major GIS Data Models. Raster and Vector 2 Major GIS Data Models.
Prepared by Abzamiyeva Laura Candidate of the department of KKGU named after Al-Farabi Kizilorda, Kazakstan 2012.
Spatial data Visualization spatial data Ruslan Bobov
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Understanding Spatial Data Structures by Austin Troy, Leslie Morrissey, & Ernie Buford,
Spatial data models (types)
M ETHODS OF REPRESENTING GEOGRAPHIC SPACE Raster Model Vector Model.
SPATIAL DATA STRUCTURES
Applied Cartography and Introduction to GIS GEOG 2017 EL Lecture-3 Chapters 5 and 6.
Parcel Data Models for the Geodatabase
Applied Cartography and Introduction to GIS GEOG 2017 EL
Map Scale, Resolution and Data Models. Components of a GIS Map Maps can be displayed at various scales –Scale - the relationship between the size of features.
Applied Cartography and Introduction to GIS GEOG 2017 EL
Faculty of Applied Engineering and Urban Planning Civil Engineering Department Geographic Information Systems Vector and Raster Data Models Lecture 3 Week.
Major parts of ArcGIS ArcView -Basic mapping, editing and Analysis tools ArcEditor -all of ArcView plus Adds ability to deal with topological and network.
8. Geographic Data Modeling. Outline Definitions Data models / modeling GIS data models – Topology.
How do we represent the world in a GIS database?
2D/3D Shape Manipulation, 3D Printing Shape Representations Slides from Olga Sorkine February 20, 2013 CS 6501.
Cartographic and GIS Data Structures Dr. Ahmad BinTouq URL:
Difference Between Raster and Vector Images Raster and vector are the two basic data structures for storing and manipulating images and graphics data on.
URBDP 422 Urban and Regional Geo-Spatial Analysis Lecture 2: Spatial Data Models and Structures Lab Exercise 2: Topology January 9, 2014.
1 Spatial Data Models and Structure. 2 Part 1: Basic Geographic Concepts Real world -> Digital Environment –GIS data represent a simplified view of physical.
GIS Data Structures How do we represent the world in a GIS database?
1 Overview Importing data from generic raster files Creating surfaces from point samples Mapping contours Calculating summary attributes for polygon features.
Geographic Data in GIS. Components of geographic data Three general components to geographic information Three general components to geographic information.
INTRODUCTION TO GIS  Used to describe computer facilities which are used to handle data referenced to the spatial domain.  Has the ability to inter-
Spatial data models Raster –exhaustive regular or irregular partitioning of space –associated with the field view –location-based Vector –points, lines,
Data Entry Getting coordinates and attributes into our GIS.
GIS Data Models III GEOG 370 Instructor: Christine Erlien.
What is GIS? “A powerful set of tools for collecting, storing, retrieving, transforming and displaying spatial data”
Spatial Data Models Geography is concerned with many aspects of our environment. From a GIS perspective, we can identify two aspects which are of particular.
Spatial Analysis – vector data analysis Lecture 8 10/12/2006.
UNIT 3 – MODULE 3: Raster & Vector
Czech Technical University in Prague Faculty of Transportation Sciences Department of Transport Telematics Doc. Ing. Pavel Hrubeš, Ph.D. Geographical Information.
Lesson 3 GIS Fundamentals MEASURE Evaluation PHFI Training of Trainers May 2011.
Spatial Analysis: Raster
Basic Spatial Queries.
Cartographic and GIS Data Structures
GIS Lecture: Editing Data
Spatial Analysis: Raster
Presentation transcript:

CS 128/ES Lecture 5b1 Vector Based Data

CS 128/ES Lecture 5b2 Spatial data models 1.Raster 2.Vector 3.Object-oriented Spatial data formats:

CS 128/ES Lecture 5b3 Vector format  Spatial precision limited by number format  Discrete features explicitly represented  Surfaces shown by contours rather than continuous values

CS 128/ES Lecture 5b4 Layers Vector data is generally stored in layers Layers contain ONE type of entity Some layers may be raster-based

CS 128/ES Lecture 5b5 Sources of Vector Data  Digitization of raster data  Computer analysis of raster data  Direct measurement (by GPS?)

CS 128/ES Lecture 5b6 Advantages of Vector Data “A place for everything, and everything is in its place”

CS 128/ES Lecture 5b7 More Specific Advantages of Vector Data Each “item” corresponds to a real- world feature Items can be “annotated” with other (non-spatial) data Items can be selected (or hidden)

CS 128/ES Lecture 5b8 An Example of Annotation

CS 128/ES Lecture 5b9 Storage – Rasters are (inherently) inefficient Every pixel must be described A 300x300 image (using 24-bit color) takes up 270,000 bytes

CS 128/ES Lecture 5b10 Storage – Vectors are more “storage appropriate” Only “items” are described, e.g. “filled yellow circle, (100,100,40)” This image would require less than 50 bytes!

CS 128/ES Lecture 5b11 Resolution Rasters are limited by the size of the raster (the pixel) Vectors are limited by the number of points (along a line or polygon body)

CS 128/ES Lecture 5b12 Topology Topology is the study of shapes In GIS, it is taken to mean the information about intersections and adjacencies. Do these line segments intersect?

CS 128/ES Lecture 5b13 Maintaining Topology …is a difficult problem from a “technical” point of view Topology must be established at the time of input and maintained as the data is edited Shapefiles contain NO topological information

CS 128/ES Lecture 5b14 Topological Problems Vertices don’t match Lines do (or don’t) intersect Polygons don’t close

CS 128/ES Lecture 5b15 Fixing Topology is a “snap” When two entities (point or line) are within a specified tolerance, we can “snap” them to the same point. Tolerance is determined on the screen, not directly by real-world distance

CS 128/ES Lecture 5b16 Applications of Topology  Voronoi Diagrams (also called Thiessen polygons)  Can be used to  Interpolate  Solve nearest- neighbor problems  Find “empty” regions

CS 128/ES Lecture 5b17 Summary Vector format allows one-to-one matching between real-world objects and data items. Vector format allows maintenance of topological information

CS 128/ES Lecture 5b18 Summary, continued Vector format supports inclusion of attribute data Vector format tends to require less storage space Vector format makes certain forms of queries MUCH easier