CE 250 - Introduction to Surveying and Geographic Information Systems eLearning Version Donald J. Leone, Ph.D., P.E. Lecture 2
Introduction Spatial Data – How is it described? Spatial Data – Main sources. More on Rasters and Vectors Spatial Data Models Two new Spatial Data Entities Numerical Characteristics of Attributes.
Definition Spatial Data: Information about the geographic position of features Geographic Position – Usually an x,y coordinate pair in two dimensional space
GIS Model Building Model – “Simplified “ view of the “real” world. Computer generated representation. Constructed using spatial data.
Nature of Spatial Data Data vs. Information - Metadata Primary data – first hand knowledge Secondary data – collected by someone else Spatial data types Temporal – when, where, etc. (Metadata) Thematic – describes real world feature (Attributes) Spatial – location of feature (x,y)
Traditional Maps Influence how we characterize spatial data. Purpose Scale Select features Adopt a map projection Select a spatial reverencing system Annotate
Scale Definition – Indicates how much smaller than reality a map is. Ratio – Distance on a map to the distance on the ground. 1:5000 – 1 cm on map = 5000 cm on ground or 50 m Graphical 1 cm 0m 50m 100m 150m
Scale – Continued “small scale maps” Cover large areas Large ratio’s – 1:2,000,000 “small scale maps” Cover large areas Small ratio’s – 1:25,000 “large scale maps” Cover small areas
Scale Related Generalization The level of detail shown is directly related to scale
Map Projections Transfer spherical earth to flat surface. Many types of projections used world-wide. There will always be some distortion generated in the projection process.
Projection Techniques Cylindrical Projection
Projection Techniques Azimuthal Projection
Projection Techniques Conic Projection
Spatial Referencing Geographic Coordinate Systems (3D) Rectangular Coordinate Systems (2D) Non Coordinate Systems, i.e. zip codes
Geographic Coordinate System Latitude and Longitude Parallels - Meridians
Geographic Coordinate System Latitude and Longitude Angles Prime Meridian 00 Longitude Latitude – North Longitude - West Equator 00 Latitude
Latitude – Longitude Calculation
Little Grey Cells Quiz Large scale maps cover large areas. T or F Why are projections needed? Why do you think the prime meridian goes through Greenwich, England?
Rectangular Coordinates (2D)
Universal Transverse Mercator (UTM)
The State Plane Coordinate System - SPCS Used primarily for engineering applications Arbitrary origin - An arbitrary number of feet south and west of the most southwesterly point on the map. Eastings (x) and northings (y) all come out positive. Advantage: Accuracy Disadvantage: Lack of universality, as each state has it’s own coordinate system.
Break!
Other Sources of Spatial Data Census Data – TIGER Files Topolocally Integrated Geographic Encoding Referencing
Other Sources of Spatial Data Aerial Photographs Increased Altitude Produces smaller scale maps Distortion toward the edges
University of Hartford Aerial Photo Sports Center HJG Center UT Hall
Other Sources of Spatial Data Satellite Images LANDSAT Image Morro Bay, CA
Other Sources of Spatial Data Surveying The Global Position System – GPS www.trimble.com
GIS Software Spatial Data Modeling Real World Spatial data – Map, etc. Raster Vector GIS Software Spatial Data Structure Computer
Raster Data Structure Feature Model Cell Values File Structure
Vector Data Structure Line or Arc Number Node or Point Number
Vector Data Structure - TOPOLGY Topology - “The property that describes adjacency and connectivity of features” Newer structure for Vector data - Topological Arcs File - added to previous data. Used to build polygons that touch each other exactly.
Vector Data Structure - TOPOLGY
Two New Spatial Entities “Old” three – Points, Lines, Polygons Add two more – Surfaces Networks
Surfaces Snowdonia National Park, Wales
Surfaces Snowdonia National Park, Wales
Raster Digital Terrain Models – DTM Digital Elevation Model (DEM) - Njolomole, Malawi
Vector DTM’s Triangular Irregular Network - TIN
TINS - Surface Significant Points Eliminate points that are close together and similar – Cuts down on storage requirements. Those points that cannot be interpolated from their neighbors – Surface Significant. Surface Significant points are used as vertices in the TIN
Modeling Networks Network – “A set of interconnected line features through which material, goods and people are transported. or Along which communication of information is achieved.”
Networks Impedance – The cost associated with traversing a network link, making a turn, or stopping.
Raster and Vector Data Models
Raster and Vector Data Models
Thematic Characteristics of Spatial Data aka - Attributes Gives information about the feature. Allow certain GIS operations – like “Query”. Scale of measurement of the attributes is important.
Scales of Measurement of the Attributes Nominal: Assign a label or class to a feature, e.g. 1 is a well, 2 is a catch basin. Ordinal: Have a rank assigned to them e.g. 1 is light, 2 moderate, 3 heavy. Interval: Values measured on relative scale e.g. elevations measured from some datum. Ratio: Values measured on an absolute scale e.g. coordinates or total precipitation.
How to Construct a Spatial Data Model Purpose Scale Select features Adopt a map projection Select a spatial reverencing system Annotate
What’s Next Attribute Data Management. Data Input and Editing.