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Getting Started with ArcGIS

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Getting Started with ArcGIS October 3rd 2006 Kang-tsung Chang, Introduction to Geographic Information Systems ESRI, ArcGIS Desktop ESRI, ArcGIS Extensions – PowerPoint PPT presentation

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Title: Getting Started with ArcGIS


1
Getting Started with ArcGIS
  • October 3rd 2006
  • Kang-tsung Chang, Introduction to Geographic
    Information Systems
  • ESRI, ArcGIS Desktop
  • ESRI, ArcGIS Extensions

2
Three Views for a GIS
  • The geodatabase view
  • A GIS is a spatial database containing datasets
    that represent geographic information in terms of
    a generic GIS data model

3
Continue
  • The geovisualization view
  • A GIS is a set of intelligent
  • maps and other views that show features and
    feature relationships on the earths surface.

4
Continue
  • The geoprocessing view
  • A GIS is a set of information
  • transformation tools that derive new geographic
    datasets from existing datasets. These
    geoprocessing functions take information from
    existing datasets, apply analytic functions, and
    write results into newly derived datasets.

5
ArcGIS
ArcGIS provides a framework for implementing GIS
for a single user or many users on desktops, in
servers, over the Web, and in the field. ArcGIS
is an integrated collection of GIS software
products for building a complete GIS.
6
Building Blocks of ArcGIS
  • ArcGIS DesktopAn integrated suite of
    professional
  • GIS applications
  • ArcGIS EngineEmbeddable developer components
  • for building custom GIS applications
  • Server GISArcSDE, ArcIMS, and ArcGIS Server
  • Mobile GISArcPad
  • ArcGIS is based on ArcObjects, a common, modular
    library of shared GIS software components.

7
Desktop ArcGIS Components
  • ArcMap
  • ArcCatalog
  • ArcToolbox
  • Optional Extensions
  • 3D Analyst
  • Spatial Analyst
  • Geostatistical Analyst

8
ArcMap
  • Central application in ArcGIS Desktop for
  • all map-based tasks including cartography, map
    analysis, and editing.

9
I - ArcMap
  • Display, create and interact with maps

10
Continue
  • You can query your spatial data to find and
    understand relationships among geographic
    features.

11
Continue
  • You can symbolize your data in a wide variety of
    ways.

12
II - ArcCatalog
  • Helps users organize and manage geographic
    information (maps, models, metadata)
  • Create and Manage Files
  • Define, build, export, import geodatabases
  • Connect to internet services
  • Record, view, and manage metadata

13
III ArcToolbox
  • Data Management (import and export data)
  • Data conversion (one format to another)
  • Cartography
  • Manage Databases
  • Manipulate Vector and Raster Data
  • Manage Tables
  • Statistical analysis

14
IV- 3-D Analyst
  • With ArcGIS 3D Analyst, users can view a surface
    from multiple viewpoints, query a surface,
    determine what is visible from a chosen location
    on a surface, and create a realistic perspective
    image by draping raster and vector data over a
    surface.

15
V Spatial Analyst
  • Users can create, query, map, and analyze
    cell-based raster data, derive information about
    their data, identify spatial relationships.
  • Contouring Data
  • Combine Raster and Vector Data
  • Raster Calculations (GRID functions)

16
VI - Geostatistical Analyst
  • Provides statistical tools for analyzing and
    mapping continuous data and for surface
    generation.
  • trends,
  • level of spatial autocorrelation,
  • and variation among multiple datasets.

17
Help
  • Most functions are documented in the online help
  • Help menus are easy to use and fairly complete
  • http//www.esri.com offers additional help

18
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19
Vector versus Raster
  • Vector Data Representation Uses X,Y
    coordinates and points to represent spatial
    features
  • Raster Data Representation uses grid (rows,
    columns) to represent variations

20
Raster
  • A 2-D matrix with values for each cell
  • Data are divided into rows and columns
  • Location is a function of the structure (i.e.
    size of each cell).
  • Each cell has a value,
  • which may be assigned
  • attributes.

21
Vector
  • Topological vector
  • expresses spatial relationships (e.g., two lines
    meeting at a point, )
  • Display quickly
  • Simple and compact data storage
  • Difficult to find and fix errors
  • Spatial queries more difficult
  • Method of choice when need a
  • simple map
  • Example Coverage
  • Nontopological
  • Does not
  • More complicated and less compact data storage
  • Can clean up maps easily.
  • Facilitates advance spatial queries.
  • Can easily develop measurements
  • along routes
  • Method of choice when need smart map
  • Example Shapefile

22
Building Topolgy Arcs
23
Building Topology - Areas
24
Attributes
  • Spatial features in a GIS usually have associated
    data called attributes.
  • Each feature may have a number of attributes

25
Joining Spatial Attribute data
  • Georelational Data Model (split system)
  • Spatial data stored in graphic files
  • Attribute data in tables
  • linked by feature IDs
  • Object-oriented data model (single system)
  • Both stored in a single domain

26
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