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GI Science spatial data modelling

This project, led by Dr. Nigel Trodd at Coventry University, delves into the intricate process of creating a digital representation of reality through Geographic Information Science (GI Science). The aim is to characterize reality as a spatial concept and model geographical phenomena effectively. By identifying and exemplifying data modeling techniques, such as vector and raster data structures, the project simplifies the understanding of how we can store and manipulate geographical data within computer systems. The methodology proposed includes four easy steps from reality to spatial data structures.

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GI Science spatial data modelling

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  1. GI Sciencespatial data modelling Dr Nigel Trodd Science and the Environment Coventry University

  2. 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

  3. Building GI models I am a Geographer I model places & spatial phenomena GI Science = Geography + Computer Science I am a Computer Scientist I model information in a database

  4. a fundamental qs

  5. How can we store geographical data in a computer?

  6. the real world is complex and computers are very simple and computers need us to model the geography for them.

  7. How do wemodel the realworld in acomputing environment ? fromrealitytospatial data structures in 1.. 2.. 3..4(easy)steps

  8. 1.fromrealityto geographical phenomena 2. from geographical phenomena to spatial entities 3. from spatial entities to spatial data models 4. from spatial data models tospatial data structures 1. fromrealitytogeographical phenomena 2. fromgeographical phenomena tospatial entities 3. fromspatial entities tospatial data models 4. fromspatial data models tospatial data structures

  9. terminology overload... ... there’s more

  10. 1. fromrealitytogeographical phenomena How do we view reality? Values at different places • Continuous variation – biomass, elevation, SST Points and edges with associated data • Discrete objects - house, pipeline, river, coastline

  11. 1. fromrealitytogeographical phenomena 2. fromgeographical phenomena to spatial entities the famous 5ive... points lines areas networks & surfaces

  12. 3. fromspatial entities tospatial data models • Geometry • Topology • Concepts of geography object-based field (or layer) -based

  13. wakeywakey … here comes the easy bit

  14. vector & raster

  15. 4. fromspatial data models tospatial data structures

  16. Summary 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.

  17. 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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