Spatial Data Models.

Slides:



Advertisements
Similar presentations
INTAGRAF International Alpine Gravity Field Course ( – , Merano, Italy) Topography and DEM Modelling mountains.
Advertisements

Data Models There are 3 parts to a GIS: GUI Tools
Geographic Information Systems GIS Data Models. 1. Components of Geographic Data Spatial locations Attributes Topology Time.
Geographic Information Systems
NUMERICAL TERRAIN MODEL IN SPATIAL PLANNING GRID DATA FORMAT.
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.
Digital terrain analyses – DEM principles DEM data structure Lines – contour map Raster – altitude matrix Vector – TIN/Triangular irregular network Vector.
Raster Based GIS Analysis
Raster Data. The Raster Data Model The Raster Data Model is used to model spatial phenomena that vary continuously over a surface and that do not have.
Floodplain Mapping using HEC-RAS and ArcView GIS Eric Tate Francisco Olivera David Maidment
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Understanding Spatial Data Structures by Austin Troy, University of Vermont.
TIN Triangulated Irregular Network (TIN) A set of adjacent, non-overlapping triangles computed from irregularly spaced points with x, y coordinates and.
Digital Topography FE Lecture 2a. From Last Week: Grid the roads and stands using various grid sizes. Overlay and comment. Grid the stands, roads,
Geographic data: sources and considerations. Geographical Concepts: Geographic coordinate system: defines locations on the earth using an angular unit.
Geographic Information Systems : Data Types, Sources and the ArcView Program.
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Part 1. Understanding Spatial Data Structures by Austin Troy, University of Vermont.
What is GIS A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical.
GI Systems and Science January 23, Points to Cover  What is spatial data modeling?  Entity definition  Topology  Spatial data models Raster.
Let’s pretty it up!. Border around project area Everything else is hardly noticeable… but it’s there Big circles… and semi- transparent Color distinction.
Raster and Vector 2 Major GIS Data Models. Raster and Vector 2 Major GIS Data Models.
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)
KCAIUG City Planning and Development- Kansas City, MO 3D Analyst1.
GIS 1110 Designing Geodatabases. Representation Q. How will we model our real world data? A. Typically: Features Continuous Surfaces and Imagery Map Graphics.
Geo-referenced Information Processing System. ISPRS Geoprocessing Technologies to collect and treat spatial information for a specific goal. Geoprocessing.
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.
Faculty of Applied Engineering and Urban Planning Civil Engineering Department Geographic Information Systems Vector and Raster Data Models Lecture 3 Week.
Presented by Rehana Jamal (GIS Expert & Geographer) Dated: Advance Applications of RS/GIS in Geo-Environmental Conservation Subject Lecture# 9&10.
Major parts of ArcGIS ArcView -Basic mapping, editing and Analysis tools ArcEditor -all of ArcView plus Adds ability to deal with topological and network.
GIS Data Structure: an Introduction
Chapter 3 Digital Representation of Geographic Data.
How do we represent the world in a GIS database?
May 4 th (4:00pm) Multiple choice (50 points) Short answer (50 points)
Simple Data Types Point (2d or 3d) –Coordinates with attributes Polyline (2d or 3d) –Points collected by line segments –2 lines max per point Polygon (2d)
Raster Concepts.
CFR 250/590 Introduction to GIS, Autumn D Analysis & Surface Modeling © Phil Hurvitz, vector_analysis_1.ppt 1  Overview 3D Analysis &
Chapter 8 – Geographic Information Analysis O’Sullivan and Unwin “ Describing and Analyzing Fields” By: Scott Clobes.
Introducing ArcGIS Chapter 1. Objectives  Understand the architecture of the ArcGIS program.  Become familiar with the types of data files used in ArcGIS.
GIS Data Structures How do we represent the world in a GIS database?
Processing Elevation Data. Limitations of DEMs for hydro work Dates Static, does not evolve Matching to linear line work due to scale Processing errors.
Lab 2: GIS Data Models Yingjie Hu. Objectives Understanding GIS data models Manipulating the data models supported in ArcGIS.
Geographic Information Systems
Rasters Steve Signell, Instructor Robert Poirier, TA School of Science Rensselaer Polytechnic Institute Monday, February.
Introduction to Geographic Information Systems (GIS)
Spatial data models Raster –exhaustive regular or irregular partitioning of space –associated with the field view –location-based Vector –points, lines,
Lecture 6 Raster data. Raster layers It’s all cells.
NR 322: Raster Analysis I Jim Graham Fall 2008 Chapter 7.
What is GIS? “A powerful set of tools for collecting, storing, retrieving, transforming and displaying spatial data”
Raster Data Models: Data Compression Why? –Save disk space by reducing information content –Methods Run-length codes Raster chain codes Block codes Quadtrees.
Vector data model TIN: Triangulated Irregular Network.
Topic: Data Models. Data Model: A consistent way of defining and representing real world entities or phenomena in a GIS. Two Primary Types of Data Models:
Reducing a Set Covering Matrix. S I T E S Cost Areas
Unit 2. Understanding Geospatial Data Student Learning Outcomes: Students will investigate and understand types of data such as discrete and continuous,
Introduction to GIS Data Management CGIS-NURIntroduction to ArcGIS I.
Rasters Peter Fox – based on materials from Steve Signell
Introduction to GIS.
Spatial Data Models.
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.
Lab 2: GIS Data Models Yingjie Hu. Objectives Understanding GIS data models Manipulating the data models supported in ArcGIS.
Statistical surfaces: DEM’s
Data Queries Raster & Vector Data Models
Surface Analysis Tools
Geographic Information Systems
سمینار آموزشی GIS کار با نرم افزار (ArcGIS)
Spatial interpolation
Lecture 09: Data Representation (VII)
Interpolating Surfaces
Creating Surfaces with 3D Analyst
Presentation transcript:

Spatial Data Models

Spatial Data Models Three common spatial data models Vector Raster Triangulated Irregular Network (TIN)

Raster Data Model Represents continuous objects Coordinates of cell Represents continuous objects Ex: temperature, elevation Regular set of cells in a grid (matrix) pattern Real-world objects are represented by value in the grid cell y Cell dimension x

Raster Resolution The cell size is the resolution There is a trade-off between resolution and raster file size The cell coordinate is the center point of the cell The coordinate applies to the entire cell area

Raster Resolution (continued) Each raster cell represents a given area and the value assigned applies to the entire cell The raster cell value represents the average, central, most common, or only value covered by the cell

G R W G = Grass R = Road W = Water