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Geographical Phenomenon and their representation 
GIS Training –Day 2 @IOE, Pulchowk
Presentation Outline 
Installation of Arc GIS will go in parallel with 
Demo with real data for yesterday’s lecture 
Geographical Phenomena 
Raster and Vector Representation
Geographic Phenomena 
Events that takes place in geographic space and time. 
Choice for a digital representation depends on the type of 
phenomenon. 
Can be : 
Artificial: Buildings 
Natural: Rivers 
Mixed Type: Pollution
Two types of data 
Data Types 
Spatial Data 
Non-spatial or Attribute data 
Spatial Data 
Data related to location. 
Example: Coordinate of center of a football ground 
Non-spatial Data 
Describes such aspects of the spatial data which is not specified 
by its geometry alone. 
 Example: Name of roads, schools, forests etc., Population or 
census data etc.
Groups of Geographical Phenomenon 
Two common groups of geographic phenomena: 
Fields Objects 
For every point in the study area, 
a value can be determined. 
All changes in field values are 
gradual. 
Example: Elevation, Temperature. 
Well distinguishable discrete 
entities. 
Empty spaces in between the 
features. 
Study space grouped into 
mutually exclusive bounded 
parts. 
Example: Buildings, Roads
Putting your data into GIS 
 What original raw data is available? 
What sort of data manipulation does the application want to 
perform?
Vector Representations 
 Represents each Geographic feature by 
a set of coordinates. 
An attempt to represent the object as 
exactly as possible. 
All positions, lengths, and dimensions 
to be defined precisely.
Types: 
Point representation 
Defined as single coordinate pairs (x,y) in 2D and (x, y, z) in 3D 
Line Representation 
Defined by 2 end nodes and 0-n internal nodes in between 
Area Representation 
 Represent each polygon as a set of XY co-ordinates of the boundary 
 
TIN Representation
Raster Representation 
Entire space is broken into grid cells of a fixed or uniform size. 
Used Commonly to represent Geographic Fields. 
 Each grid cell is referenced by a row and column number.
Raster representation 
with different Cell Size 
Associating Coordinate System to a Raster 
data 
Example: 
Use of raster data as a 
thematic data, Land Use
In a Raster 
A point is represented by a single 
grid cell. 
A line by a number of neighboring 
cells strung out in given direction. 
An area by an agglomeration of 
neighboring cells.
Comparison 
VECTOR 
Complex data Structure 
Easy association with attribute 
data 
Efficient representation of 
topology 
Overlay of several vector 
polygon maps creates 
difficulties 
RASTER 
Simple Data Structure 
Difficult to associate attribute 
data 
Difficult in representing 
topology. 
Overlay and combination of 
data is easier
REAL WORLD
However, 
Both structure are inter-convertible. 
Conversion from Vector to Raster 
 Is simplest 
Many well known algorithms exist. 
Conversion from Raster to Vector 
Much more complex operation.
Choice between Vector and Raster 
Use VECTOR data structures for 
Geographical objects like buildings ,Roads etc. 
Network analysis :Transportation networks, Telephone 
networks etc. 
Use RASTER methods 
Representing continuous geographical fields 
When it is necessary to work with surfaces; Simulation and 
modeling 
Spatial analysis ,Map overlays, etc.
Conclusion
Reading Materials 
GIS DATA Formats 
http://maps.unomaha.edu/Peterson/gis/notes/DataFormatExchange.html 
Complete Understanding of GIS (http://giscommons.org/ ) 
Introduction ,Input ,Map Processing ,Data Processing , Analysis and Output

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Geographic Phenomena and their Representations

  • 1. Geographical Phenomenon and their representation GIS Training –Day 2 @IOE, Pulchowk
  • 2. Presentation Outline Installation of Arc GIS will go in parallel with Demo with real data for yesterday’s lecture Geographical Phenomena Raster and Vector Representation
  • 3. Geographic Phenomena Events that takes place in geographic space and time. Choice for a digital representation depends on the type of phenomenon. Can be : Artificial: Buildings Natural: Rivers Mixed Type: Pollution
  • 4. Two types of data Data Types Spatial Data Non-spatial or Attribute data Spatial Data Data related to location. Example: Coordinate of center of a football ground Non-spatial Data Describes such aspects of the spatial data which is not specified by its geometry alone.  Example: Name of roads, schools, forests etc., Population or census data etc.
  • 5. Groups of Geographical Phenomenon Two common groups of geographic phenomena: Fields Objects For every point in the study area, a value can be determined. All changes in field values are gradual. Example: Elevation, Temperature. Well distinguishable discrete entities. Empty spaces in between the features. Study space grouped into mutually exclusive bounded parts. Example: Buildings, Roads
  • 6. Putting your data into GIS  What original raw data is available? What sort of data manipulation does the application want to perform?
  • 7.
  • 8. Vector Representations  Represents each Geographic feature by a set of coordinates. An attempt to represent the object as exactly as possible. All positions, lengths, and dimensions to be defined precisely.
  • 9. Types: Point representation Defined as single coordinate pairs (x,y) in 2D and (x, y, z) in 3D Line Representation Defined by 2 end nodes and 0-n internal nodes in between Area Representation  Represent each polygon as a set of XY co-ordinates of the boundary  TIN Representation
  • 10. Raster Representation Entire space is broken into grid cells of a fixed or uniform size. Used Commonly to represent Geographic Fields.  Each grid cell is referenced by a row and column number.
  • 11. Raster representation with different Cell Size Associating Coordinate System to a Raster data Example: Use of raster data as a thematic data, Land Use
  • 12. In a Raster A point is represented by a single grid cell. A line by a number of neighboring cells strung out in given direction. An area by an agglomeration of neighboring cells.
  • 13. Comparison VECTOR Complex data Structure Easy association with attribute data Efficient representation of topology Overlay of several vector polygon maps creates difficulties RASTER Simple Data Structure Difficult to associate attribute data Difficult in representing topology. Overlay and combination of data is easier
  • 15. However, Both structure are inter-convertible. Conversion from Vector to Raster  Is simplest Many well known algorithms exist. Conversion from Raster to Vector Much more complex operation.
  • 16. Choice between Vector and Raster Use VECTOR data structures for Geographical objects like buildings ,Roads etc. Network analysis :Transportation networks, Telephone networks etc. Use RASTER methods Representing continuous geographical fields When it is necessary to work with surfaces; Simulation and modeling Spatial analysis ,Map overlays, etc.
  • 18. Reading Materials GIS DATA Formats http://maps.unomaha.edu/Peterson/gis/notes/DataFormatExchange.html Complete Understanding of GIS (http://giscommons.org/ ) Introduction ,Input ,Map Processing ,Data Processing , Analysis and Output