170 likes | 299 Views
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)
E N D
GI Sciencespatial 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) • to identify the process of modelling geographical phenomena • to identify & exemplify entitation & data modelling • to identify vector and raster data & their data structures
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
the real world is complex and computers are very simple and computers need us to model the geography for them.
How do wemodel the realworld in acomputing environment ? fromrealitytospatial data structures in 1.. 2.. 3..4(easy)steps
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
terminology overload... ... there’s more
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
1. fromrealitytogeographical phenomena 2. fromgeographical phenomena to spatial entities the famous 5ive... points lines areas networks & surfaces
3. fromspatial entities tospatial data models • Geometry • Topology • Concepts of geography object-based field (or layer) -based
wakeywakey … here comes the easy bit
4. fromspatial data models tospatial data structures
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.
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.