Data abstraction and Spatial Data models Flashcards
Lecture 2
What is a model?
Represnetation of something
simplification of the real world or reality.
What is a data model?
an abstraction of something else.
What is a spatial model?
abstraction of spatial phenomena on the earth’s surface.
What is data abstraction?
representation of the real world in a simpler form on a digital format.
What are the 2 General models?
Vector and Raster models
Vector = point, line, polygons.
raster = grids and pixels.
Explain the different Vectors.
(discontinuous/discrete)
points = buildings, or important locations, boreholes.
lines = roads, rivers, streams, railways etc.
polygons = areas, water bodies (dams, resevoirs). agriculture orchids, forests, vegetations, sand dune, nature reserves.
What is a feature layer?
AKA vector layer
Depicts a common theme.
What are the important file extentions?
Primary Files:
.shp
.dbf
.shx
What is raster data?
(continuous)
Grid cells and pixels organised into rows and columns.
What is remote sensing?
collecting data without actually getting in touch with the physical thing.
What are the raster model types?
Integers, represents discrete data - roads, rivers and land cover.
Floating points, decimals, continuous data - elevation and rainfall.
what spatial resolution?
size in m/km/cm of each individual pixel representative of the actual distance on the gound
smaller resolution - finer
bigger - coarser.
High Spatial Resolution
▪ Small grid cells (pixels)
▪ Fine scale
▪ Lots of pixels
▪ Large file sizes
Low Spatial Resolution
▪ Large pixels
▪ Coarse scale
▪ Fewer pixels
▪ Smaller file size
How can raster data be represented?
3D and 2D