Maps as Numbers Getting Started with GIS Chapter 3.

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Presentation transcript:

Maps as Numbers Getting Started with GIS Chapter 3

Chapter 3: Maps as Numbers n 3.1 Representing Maps as Numbers n 3.2 Structuring Attributes n 3.3 Structuring Maps n 3.4 Why Topology Matters n 3.5 Formats for GIS Data n 3.6 Exchanging Data

Maps as Numbers n GIS requires that both data and maps be represented as numbers. n The GIS places data into the computer’s memory in a physical data structure (i.e. files and directories).

The Data Model n A logical data model is how data are organized for use by the GIS. n GISs have traditionally used either raster or vector for maps.

Rasters and vectors can be flat files … if they are simple Vector-based line Raster-based line Flat File

Features and Maps n A GIS map is a scaled-down digital representation of point, line, area, and volume features. n While most GIS systems can handle raster and vector, only one is used for the internal organization of spatial data.

A raster data model uses a grid. n One grid cell is one unit or holds one attribute. n Every cell has a value, even if it is “missing.” n A cell can hold a number or an index value standing for an attribute. n A cell has a resolution, given as the cell size in ground units.

Generic structure for a grid Figure 3.1 Generic structure for a grid. R o w s Columns Grid cell Grid extent Resolution

The mixed pixel problem

Grids and missing data Figure 3.8 GIS data layer as a grid with a large section of “missing data,” in this case, the zeros in the ocean off of New York and New Jersey.

RASTER n A grid or raster maps directly onto a programming computer memory structure called an array. n Grids are poor at representing points, lines and areas, but good at surfaces. n Grids are good only at very localized topology, and weak otherwise. n Grids are a natural for scanned or remotely sensed data. n Grids suffer from the mixed pixel problem. n Grids must often include redundant or missing data. n Grid compression techniques used in GIS are run-length encoding and quad trees.

The Vector Model n A vector data model uses points stored by their real (earth) coordinates. n Lines and areas are built from sequences of points in order. n Lines have a direction to the ordering of the points. n Polygons can be built from points or lines. n Vectors can store information about topology.

Vectors: pro and con n Vector can represent point, line, and area features very accurately. n Vectors are far more efficient than grids. n Vectors work well with pen and light-plotting devices and tablet digitizers. n Vectors are not good at continuous coverages or plotters that fill areas.

TOPOLOGY n Topological data structures dominate GIS software. n Topology allows automated error detection and elimination. n Rarely are maps topologically clean when digitized or imported. n A GIS has to be able to build topology from unconnected arcs. n Nodes that are close together are snapped. n Slivers due to double digitizing and overlay are eliminated.

Topology Matters n The tolerances controlling snapping, elimination, and merging must be considered carefully, because they can move features. n Complete topology makes map overlay feasible. n Topology allows many GIS operations to be done without accessing the point files.

FORMATS n Most GIS systems can import different data formats, or use utility programs to convert them. n Data formats can be industry standard, commonly accepted or standard.

EXCHANGE n Most GISs use many formats and one data structure. n If a GIS supports many data structures, changing structures becomes the user’s responsibility. n Changing vector to raster is easy; raster to vector is hard. n Data also are often exchanged or transferred between different GIS packages and computer systems. n The history of GIS data exchange is chaotic and has been wasteful.

Vector to raster exchange errors

Transfer Standards

GIS Data Exchange n Data exchange by translation (export and import) can lead to significant errors in attributes and in geometry. n In the United States, the SDTS was evolved to facilitate data transfer. n SDTS became a federal standard (FIPS 173) in n SDTS contains a terminology, a set of references, a list of features, a transfer mechanism, and an accuracy standard. n Both DLG and TIGER data are available in SDTS format. n Other standards efforts are DIGEST, DX-90, the Tri-Service Spatial Data Standards, and many other international standards. n Efficient data exchange is important for the future of GIS.