cartographical whispers dr nigel trodd coventry university
TRANSCRIPT
Cartographical Whispers
Dr Nigel TroddCoventry University
Your (very simple) AIM:
construct a map of the area between the library and
Coventry Cathedral
You will need Blank A4 sheet Ruled A4 sheet x2 Acetate sheet Graph paper Pencil and / or Colour pens Ruler or other straight edge Common sense
Start exercise
Task 1Draw a sketch map of the area on
one of the blank A4 sheets
buildings roads, footpaths railway lines rivers bridges parks, cemeteries and open spaces trees & street furniture Etc.
Pass to a neighbour
Task 2Identify the entity type of each phenomenon – is it a
Point Line Area
Record this information on the sketch map
Pass your list of entity types and the original map to a neighbour
Task 3
Create a vector map using the original sketch map annotated by entity type
Draw the map on an acetate sheet
Pass the original map, list of entity types and vector map to a neighbour
Task 4Choose one feature and convert its’ vector map to a raster map
Use graph paper for your raster map Allocate a code to each cell You may find it sensible to code blocks
of cells. If you do, make sure that you only code square blocks.
Pass the original map, vector and raster maps to a neighbour
Task 5Create vector and raster data files Use the graph paper to establish a coordinate system Raster file – you will need to record information on
the array size and cell resolution as well as the presence / absence of a feature in a cell.
Vector file - identify the coordinates of nodes & points of all objects in a feature class. Your data file will also list object identifiers and number of coordinate pairs to ‘close’ an object.
remember: raster files assume an origin in the top left (row 0, column 0), vector files in the bottom left.
Pass all maps and lists to the original cartographer
Task 6 Do the maps look anything like your
original sketch? Have the features been correctly
identified and accurately located? How are complex features represented
e.g. bridges, trees in open spaces, pathways alongside roads?
What do you think are the main sources of uncertainty?
Summary
Digital model of the real world:
geographical phenomena spatial entities data models & data structures