GIS Modeling Week 2 — Maps as Data GEOG 3110 –University of Denver PowerPoint PPT Presentation

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Title: GIS Modeling Week 2 — Maps as Data GEOG 3110 –University of Denver


1
GIS Modeling Week 2 Maps as Data GEOG 3110
University of Denver
Points , lines, polygons and surfaces Discrete
vs. Continuous data Map data types and their
implications Displaying grid data Contouring
implications Grid map structure and storage
2
Who We Are (Class Photo)
Annotated Class Roster posted at http//www.inno
vativegis.com/basis/Courses/GMcourse10/Syllabus/GM
2010_roster.pdf
ltas of Thursday morninggt
3
Now, Where Were We?
  • What GIS Is (and isnt)
  • Computer Mapping (70s) - Spatial dB Management
    (80s) - GIS Modeling (90s)

keeping in mind that the frontier is currently
focused on Multimedia Mapping (00s)
(Berry)
4
Campground Suitability Model Review (Logic)
Prefer Gentle Slopes, Near Roads, Near Water,
View of Water and Westerly Oriented but cant be
too close to water or too steep
(Berry)
5
Campground Suitability Model Review (Solution)
A sequencing of map analysis commands are applied
to implement model logicusing a command script
(Tutor25_Campground.scr)
(Berry)
6
Basic Map Features
(Berry)
7
Storing Points, Lines and Areas
how do you think Vector and Raster data
structures store Surfaces, Volumes, hyper-Volumes
and fuzzy-Features?
(Berry)
8
Spatial Resolution
The concept of Scale
(S MD/GD)

  • does not exist in a GIS

replaced by the concept of Resolution (Spatial,
Mapping, Thematic and Temporal)
(Berry)
9
Minimum Mapping Resolution
replaced by the concept of Resolution (Spatial,
Mapping, Thematic and Temporal)
(Berry)
10
Thematic and Temporal Resolutions
replaced by the concept of Resolution (Spatial,
Mapping, Thematic and Temporal)
so what is the difference between the concepts
of PRECISION and ACCURACY and how do these
concepts relate to the concept of RESOLUTION?
(Berry)
11
Accuracy versus Precision
The Wikipedia defines Accuracy as the degree of
veracity (exactness) while Precision as the
degree of reproducibility (repeatable)
(Berry)
12
Classification versus Delineation (spatial
perspective)
Classification Accuracy (What) ?? Delineation
Precision (Where)
(Berry)
13
Model Accuracy/Precision (spatial modeling
perspective)
Calibrate Expert Opinion
cognitive mapping has no definitive
right/wrong solution Most Preferred
Weight Stakeholder Values
(Berry)
14
Raster Data Types
(Berry)
15
Basic Grid Data Structure
The Analysis Frame provides consistent
parceling needed for map analysis and extends
discrete point, line and areal features to
continuous Map Surfaces
16
Basic Grid Display Types
Display Types Lattice display forms a smooth
wireframe Grid display forms chunky extruded
grids
(See Example Applications, Display Types for
more information)
(Berry)
17
Thematic Display (Shading Manager)
MapCalc Shading Manager Ranges sets the
number of intervals Equal Ranges has the same
range for each interval Equal Count has the same
number of cells for each interval
(See Example Applications, Display Types for
more information)
(Berry)
18
Contouring Mapped Data (Continuous to Discrete)
  • Display the elevation surface as wireframe
    (Lattice) with filled floor contours
  • Set Ranges to 7 and assign yellow as the
    inflection color
  • Redisplay the surface as
  • Equal Count, Equal Ranges, StDev and User Defined

note the dramatic differences in the shape and
position of the boundary lines of the discrete
contour intervals
So which discrete map of elevation surface is
CORRECT?
(Berry)
19
Matching Data Types Display Types/Forms
(See Example Applications, Data Types, Color
Interval/Pallet, 3D Display Options and Data
Inspection and Charting for related information)
(Berry)
20
Numeric and Geographic Data Types
all digital maps are composed of organized sets
of numbers the Data Type determines what
map-ematical processing can be done with the
numbers on a map, or stack of map layers
(Berry)
21
Homework Exercise 2
  • Part 1 Understanding Basic Concepts and Terms
  • Scale and Resolution. 1) Map Scale, 2) Spatial
    Resolution, 3) Thematic Resolution, 4) Minimum
    Mapping Resolution and 5) Temporal Resolution.
  • Data Types. 1) Nominal, 2) Ordinal, 3)
    Interval, 4) Ratio, 5) Binary, 6) Choropleth, 7)
    Isopleth data types (be sure to distinguish which
    data types are Numeric and which are Geographic)
  • Display Considerations. You will generate
    different map displays of the Slope and Districts
    map layers, then identify/comment on the Data
    Type, Display Type and Display Form used and
    discuss the effects/appearance of the different
    displays

(Berry)
22
Simple Erosion Model
(Berry)
23
So Where Are You in GIS?
(See Beyond Mapping III, Topic 4, Where Is GIS
Education)
(Berry)
24
Vector to/from Raster (direct calculation)
(Berry)
25
Vector to Raster (centroid implied)
Note this technique is very sensitive to cell
size (features smaller than cells) and complexity
of boundary shape but it is really fast
(Berry)
26
Exporting MapCalc Data Layers
(Berry)
27
Grid-based Data Structures/Formats (Esri .asc)
(Berry)
28
Grid-based Data Structures/Formats (Surfer .grd)
(Berry)
29
Grid-based Data Structures/Formats (MapCalc .rgs)
(Berry)
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