Introduction to GIS - 2

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Introduction to GIS - 2 Outline Using GIS Representation of spatial objects in GIS Prof. D. Nagesh Kumar Department of Civil Engineering Indian Institute of Science Bangalore 560 012, India http://www.civil.iisc.ernet.in/~nagesh Comparison of Raster and Vector formats TIN Mode Geospatial base: a set of compatible data layers or themes WITH GIS SOFTWARE REPRESENTATION OF SURFACE GEOMETRY WITHOUT GIS SOFTWARE TIN WITH GIS SOFTWARE DRAINAGE CONTOUR TOPOSHEET PLOT ON GRAPH DRAW TIN DRAINAGE CONTOUR TOPOSHEET Capture Store in Computer GIS Process Register Map Base Process Interpret Display Results Convert to Digital GIS Maps Map Digitizing Geographic Analysis Images Image Processing Spatial Attribute Base Base Cartographic Display Maps Statistical Analysis base Management Statistical Reports Statistics Tabular

GIS - Map Stacking Drilling Down Through The Layers NDVI From Aerial Image Nitrogen Availability Estimate from Aerial Photo ph Layer Geographic Information Courtesy of PPI Courtesy of PPI GIS s Raster There are two formats used by GIS systems to store and retrieve geographical data: Raster Vector are divided into cell, pixels, or elements Cells are organized in arrays Each cell has a single value Row and Column Numbers are used to identify the location of the cell within the array Perhaps the most common example of raster data is a digital image Discrete and Continuous Space Spatial : Raster format Discrete Space: Vector GIS Continuous Space: Raster GIS Number of rows (X,Y) Number of Columns Cell size NODATA cell Definition of a Grid in GIS

Points as Cells Line as a Sequence of Cells Polygon as a Zone of Cells Vector are associated with points, lines, or boundaries enclosing areas Points are located by coordinates Lines are described by a series of connecting vectors (line segments described by the coordinates of the start of the vector, its direction, and magnitude or length) Areas or polygons are described by a series of vectors enclosing the area Spatial : Vector format Vector Vector data are defined spatially: Point - a pair of x and y coordinates (x 1,y 1 ) Any number of factors or attributes can be associated with a point line or polygon Line - a sequence of points Polygon - a closed set of lines Node vertex are stored in two files a file containing location information a file containing information on the attributes A third file contains information needed to link positional data with their attributes

Feature Attribute Table Fields Locations on the Stream Network Digital Stream Network Connects Control Point Locations Records Relational Linkages Raster-Vector Model Spatial Attributes Raster Water Right Locations Descriptive Attributes Vector Real World Vector and Raster Representation of Point Map Features Vector and Raster Representation of Line Map Features Map Feature GIS Vector GIS Raster Map Feature GIS Vector GIS Raster (X,Y) Coordinate in space Cell Located in an Array

Vector and Raster Representation of Area Map Features Map Feature GIS Vector GIS Raster Vector and Raster s Most GIS software can display both vector and raster data Raster formats are efficient when comparing information among arrays with the same cell size Raster files are generally very large because each cell occupies a separate line of data Vector formats are efficient when comparing information whose geographical dimensions are different Comparison of Raster and Vector s Raster Raster formats are efficient when comparing information among arrays with the same cell size. Raster files are generally very large because each cell occupies a separate line of data, only one attribute can be assigned to each cell, and cell sizes are relatively small. Vector Vector formats are efficient when comparing information whose geographical shapes and sizes are different. Vector files are much smaller because a relatively small number of vectors can precisely describe large areas and a many attributes can be ascribed to these areas. Comparison of Raster and Vector s Raster Raster representations are relatively coarse and imprecise Vector Vector representations of shapes can be very precise. Most GIS software can display both raster and vector data. Only a limited number of programs can analyze both types of data or make raster type analyses in vector formats. TRIANGULATED IRREGULAR NETWORK ( TIN ) TRIANGULATED IRREGULAR NETWORK ( TIN ) EACH TRIANGLE ELEMENT WILL BE ANALYZED

Coordinate s Coordinate s Spatial data are generally recorded as latitude and longitude, frequently as decimal degrees Other systems commonly used are the Universal Transverse Mercatur - UTM and State Plane Coordinates. These systems are projections of the curved surface of the globe on to a plane surface UTM, the preferred system, distance unit is the meter. The unit of the state plane system is the foot. There is generally a different coordinate system for each state in the state plane system. In the UTM system projections are made in zones of approximately 6 degrees of longitude. Coordinate s UTM Specifications There are two datums (reference planes) commonly used to make projections: North American Datum of 1927 (NAD27) and the World Geographic Reference of 1984 (WGS84). The WGS84 datum can be used world wide. The default datum of many GPS receivers is the WGS84 datum. UTM position is specified by: Number of the Zone North (or South) of the equator East of the western boundary of the zone Distances are in meters Coordinates are referred to as Northings and Eastings N xxxxxx, E yyyyyy Interpolation to Predict Missing Frequently, data are collected at discrete points located at significant distance apart or some of the data are missing. Interpolation is used to predict the values of the missing data. There a number of interpolation algorithms available in SST Toolbox and other software. Interpolation Algorithms Nearest neighbor Local Averaging Inverse distance to a power Radial bias functions Shepard s Method Kriging AND Simple Contouring

Nearest Neighbor Local Average Missing Value of the nearest measurement to the missing data. In the case of values at the same distance, the average of those values Missing Average of all values within a predetermined distance. Nearest Neighbor Averaged Values