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GI Science spatial data modelling

Date post: 06-Jan-2016
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GI Science spatial data modelling. Dr Nigel Trodd Science and the Environment Coventry University. Aim & objectives. To understand the process of building a digital representation of reality to characterise reality (as a spatial concept) - PowerPoint PPT Presentation
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GI Science spatial data modelling Dr Nigel Trodd Science and the Environment Coventry University
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Page 1: GI Science spatial data modelling

GI Sciencespatial data modelling

Dr Nigel Trodd

Science and the Environment

Coventry University

Page 2: GI Science spatial data modelling

Aim & objectives

To understand the process of building a digital representation of reality

• to characterise reality (as a spatial concept)• to identify the process of modelling geographical

phenomena• to identify & exemplify entitation & data modelling• to identify vector and raster data & their data

structures

Page 3: GI Science spatial data modelling

Building GI models

I am a Geographer

I model places & spatial phenomena

I am a Computer Scientist

I model information in a database

GI Science = Geography + Computer Science

Page 4: GI Science spatial data modelling
Page 5: GI Science spatial data modelling

How can we store geographical data in a computer?

Page 6: GI Science spatial data modelling

the real world is complexandcomputers are very simpleandcomputers need us to model the geography for them.

Page 7: GI Science spatial data modelling

How do we model the real world in a computing environment ?

from reality to spatial data structures

in

1.. 2.. 3.. 4 (easy) steps

Page 8: GI Science spatial data modelling

1. from reality to geographical phenomena

2. from geographical phenomena

to spatial entities

3. from spatial entities

to spatial data models

4. from spatial data models

to spatial data structures

1. from reality to geographical phenomena

2. from geographical phenomena

to spatial entities

3. from spatial entities

to spatial data models

4. from spatial data models

to spatial data structures

Page 9: GI Science spatial data modelling

terminology overload...

... there’s more

Page 10: GI Science spatial data modelling

How do we view reality?

1. from reality to geographical phenomena

Values at different places• Continuous variation – biomass, elevation, SST

Points and edges with associated data• Discrete objects - house, pipeline, river,

coastline

Page 11: GI Science spatial data modelling

1. from reality to geographical phenomena

2. from geographical phenomena to

spatial entities

the famous 5ive...pointslinesareas

networks & surfaces

Page 12: GI Science spatial data modelling

Geometry

Topology

Concepts of geography

3. from spatial entities

to spatial data models

object-based

field(or layer)-based

Page 13: GI Science spatial data modelling

wakey wakey

… here comes the

easy bit

Page 14: GI Science spatial data modelling

vector & raster

Page 15: GI Science spatial data modelling

4. from spatial data models

to spatial data structures

Page 16: GI Science spatial data modelling

I am NOT a Geographer

I am NOT a Computing Scientist

I am a GI Scientist.

I model.

I am crude.

I use basic IT.

I work.

Summary

Page 17: GI Science spatial data modelling

I am a GI Scientist. Are you?

• outline the art of building a digital

representation of reality.

• identify & exemplify 5 spatial entity types.

• explain the elements of a spatial data model.

• identify differences between vector and

raster data & exemplify their data structures.


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