LECTURE OUTLINES
INTRODUCTION
General Reference Maps
- Focus on geographic location
- Thematic Maps
- Focus on spatial pattern of attribute
- Base map (spatial)
Basic (original)
Derived
(borrowed) maps
scale
problems
distortion
due to projections
- Attribute data (theme)
choroplethic
isarithmic
- prism map
scatter
symbol
- icon symbol
point or
dot map
variable width
flow (line)
proportional
symbol (usually circle)
false
relief
3-D frame
map
cartogram
- Map parts
Points
Lines
Areas
- Volume
Text
Legend and other
map parts
key to symbols
date
produced
data of data
author/publisher
scale
arrow
- inset maps

PROJECTIONS
Map Design and Map Composition
Managing the Visual Hierarchy
- size and choice of symbols
- contrast, coordination in value and chroma, and hue
- coordination of fonts, line weights, fills
- avoid green/red
combination for small features
- layers, levels and placement
- coordination of map elements
- title: Theme first, date
- legend: key, arrow,
scale, source, author, map choices, projection
- Aesthetic Appeal
- compact placement of title, legend, supplementary information
- visual depth
(shadows, overlapping)
- consistency of style
- optical center of graphic
- Visibility, clarity
-
- If used as grayscale, design in grayscale
- Weaves instead of dithering if printed poorly
- line width difference of
.15 inch easily noticed
- at 18 inch reading distance, black line not less than .006 inch
- black
dot on white field not less than .04 in, from 18 inches reading distance
- text not less than 6 points in size
- symbol-key association should be obvious (e.g. not too many fine shades
of fill)
- two black dots no less than .003 inches apart
- optical illusions
- appearing complementary colors
- green/red conflict -- color blindness
- closure
- apparent scaling
- "cognitive" cartography
-
COMPUTER FUNCTION
Resources and function
- Local drives, networked drives, unix account, http folder
Operating systems: Windows vs. UNIX
Storage devices
-
- diskette, CDR, CDRW, DVD, jumpdrive, UNIX
account
- Binary system -- "switches" of 0's and 1's
- File size: bits,
bytes, kilobyte, megabyte, gigabyte, terabytes
Speed: megahertz and
gigahertz, baud (e.g., 5.6k modem)
- File
management
- Saving files
Changing folders and drives
Creating folders
Renaming files
Copying/moving files
Reading file type and file size
Backing up work in progress
UNIX accounts
- Setting up an account
http
directory with "setup"
briefcase
with mkdir
Moving files to/from
account
E-Mail -- your choice
- Send me an e-mail TODAY
- With an asterisk if you want graduate credit
- YOUR NAME in capitals in subject
line
- From your preferred account
- Special concerns or information
- Browser Navigation
Finding images
Saving images
- Editing images
RASTER GRAPHICS
- pixels/bits/cells
- tesselation
- satellite images
- photographic images
- standard
formats
.tif .jpg
.gif .bmp .pcx
4-bit,
8-bit, 24-bit, 32-bit
87a vs. 89a
.gifs
interlaced
compressing raster files
Lview for conversions
Windows' Paint
- 4-connect fill
- adjusting color, brightness, contrast, etc.
- dithering
- antialiasing
- Resizing, Resampling
- Sources for base maps
CHOROPLETHIC Theme
Easy, recognizable thematic type -- common
- Available data for geographic and administrative units
- City governments
- School districts
- Census units
- Planning Districts
- Zip codes
- etc.
- Data
Base map
- size of units
- numberof units
spatial cues, recognizability
- Fill
Classed vs. Unclassed
- Classed requires intervals/categories
- Unclassed -- unique fill for each value
- Number of ranges
- variation in data array
- ability to distinguish differences in fills
- single map or series
Range breaks
Quantiles (visually appealing)
Equal Intervals (assumed and
usually best method)
Natural
Breaks (may be most "honest")
Logrithmic (when data are skewed)
Mean and Standard Deviation
Continuous vs non-continuous
ranges
CENSUS DATA
- Nested Geographies
- country
- state
- county
- tracts
- block groups
- blocks
- block face
- street address
- places
- urbanized areas
- metropolitan statistical areas
- Attribute data
- population
- housing
- FIPS coding
- where to get data for 2000

Mapping Point Phenomena
Location of Points
- known x, y coordinates
geocoding
to address ("address matching")
polygon centroid
- distributed
within polygon
- Similar technique to choroplethic, but uses
aggregate data
Best when data are discrete
Choice of symbols or icons - usually a dot
- Point value - number of things represented by a symbol
- should
be rounded (100 not 97)
rule of thumb -- 3 dots in most sparse area
- rule of thumg -- begin to coalescence in densest area
accuracy for each mapped polygon: within one half of dot
value
- (unless portions of dots/icons are shown)
- dot value no more than twice smallest
important value
- symbol
size
- adjust to create the coalescence
- white edge can be useful when coalescing
- clone tool is useful to control symbol size
- symbol placement
- Areal unit mapped
- smaller the area, more accurate
geographically
larger the area, the
more accurate numerically
- because potential
error is 1/2 dot
value per polygon mapped
Legend
- dot value
- statement of potential error
- process statement
- representative
distributions
Proportional Symbol Theme
ISARITHMIC THEME
- Isolines
- contour (isoelevation)
- isotherm
- isohyet
- isobar
- isogloss
- Isoplethic -- represents area data at centroids
- derived data (e.g. per capita income)
- Isometric -- data collected at points
- single sample data (e.g. temperature)
- Data requirements
- continuous
- vary predictably between known points
- wide distribution of points
- Methods
- Triangulation
Linear estimation using known points
- Primary and secondary interpolation 123456
- primary (grid
estimates)
secondary (e.g. smoothing)
- Interpolation algorithms
- Inverse Distance and Shepard's Method are similar: fast but create "bulls
eyes"
- Smoothing reduces "bulls eyes," particularly with Shepard's Method
- Kriging, very common, best method for very small data sets (less than
10)
- attempts to express trends, e.g. ridge vs. series of peaks
- krigging and radial basis functions are similar; both good under
250 points
- Minimum curvature generates smoothest possible surfaces and is fast
- fastest method for 1,000 or more points. Widely used in earth
sciences.
- Polynomial Regression (planar slope) identifies large trends but loses
local information
- Triangulation not effective with 10 or fewer points. Fast, yields
angular results.
- represents data well between 250 and 1,000 points
- Anisotropy
implies
a preferred direction of influence
Search ellipse may be simple, quadrant, or octant
Grid density is user-defined
Exacting
Honor datum falling on intersection
Smoothing "uncertainty" factor
reduces the influence of outliers
Power (influence declines with distance)
- Other issues
- Choosing contour intervals
- always equal interval, unless halves are necessary
- rounded numbers
- Labeling contours
- enough to interpret interval
- in - line placement
- on horizontal segments
- Contour fills
- optional
- quantitative
- fill without edge?
- Hachures
- change in direction of slope
- Show data points on map
- sometimes labeled with known values
-
- ideally, interpolation settings as well
- 3D map
- z-dimension rendered in vertical
- overlay of maps
- perspective vs. orthogonal view
- visibility of axis labels
COLOR
- Aspects
of Color
- Hue ("color")
- Value
(dark/light)
- Chroma (saturation)
- Example
Color
Cubes
-- in particular look for the Munsell model
- Color in digital environment
- Bit size and palette size
2 to the fourth power = 16 colors
(4-bit)
2 to the 8th power = 256
(8-bit)
2 to the 24th power =
16,777,216 (24-bit, "millions of colors")
2 to the 32nd power =
4,294,967,296 (32-bit, "billions of colors")
Palette limits depend on user's hardware/software
- conversion by Save As...
or by mode
- conversion may be irreversible
- RGB combinations 0 (black) to 255 (white)
- additive:
depends on light source
- primary
colors, overlap to create secondary: cyan, magenta,
yellow
- CMYK
- subtractive: based on light-absorbing
quality of ink on paper
- used for
printing using color separation "four color
process"
- HSV
- one value for hue, one for saturation, and one for value
- A 6X6X6 cube "no dither" color page for
Netscape (displays only 216 colors)
- Color combinations
Contrast: field and ground
- affects the visual hierarchy
- Complementary colors
Simultaneous
contrast
Color blindness (red/green)
- Associations
- Blue = water, cool, wet
Red =
danger, bad, warning,
hot
Green = fertile, low, moist,
vegetation, good
Yellow = dry, hot, desert
White = missing information, very high (snow)
Black = text, borders, important
Working with color
- Numerically, from palette, or with slide controls
- Hue Saturation Value adjustment (control all three)
- Contrast enhance (stretch darks, move midrange, and change lights)
Log enhance (lighten darks without affecting lights)
- Change palette type
- watch for "palette shift"
- Resampling
- Fixing antialiasing
Try a program
simulates colorblindness on your image
Color blindness test

DATA TYPES
- Qualitative -- difference in type
- alphanumberic or numeric --nominal, categorical, values
(e.g., male=1, female=0)
- Quantitative -- difference in amount
- Integers for discrete data which comes "in wholes" (e.g., population)
- Real numbers
for continuous data, with portions (e.g., population density )
- Sequential values for ordinal, rank
(e.g., 1st, 2nd, 3rd, largest city, or quantiles)
- weak ordering
-- paired ranks
- complete ordering
-- unique ranks
-
- Interval numbers have regular distance between values, but no true
0 ( e.g., temperature f)
- Ratio numbers have a meaningful 0 (e.g., distance)
-
TYPOGRAPHICS
- Purpose of text
- Titles
- legend
- legend values
- labels
- distinguish between object categories
- comments
- text boxes
- Text usually black and often on top of visual
hierarchy
- usually nothing crosses over text
- Fonts (typefaces)
- ascender/descender, x height
- serif
(finishing strokes: bracketed, square, wedge)
- ease of read
- quality loss in digital environment
- x-height
- shading
- weight
- Style
- Italix for commentary / water bodies
- Underline for emphasis / capital cities
- Boldface for importance or visibility
- Size for importance
- measured in "points"
- 72 points "block size" is one inch
- 6
pt. minimum
- never distort (stretch in one dimension only)
- Color
- usually black but
- color can be used as symbol (e.g. blue for water bodies)
Edge/fill
- Case (upper / lower)
- uppercase appears larger, but more
difficult to read
- Font families
-
- mixing fonts --
usually no more than 2 families
- Fancy fonts -- can be useful for title, decoration
-
- Dignity -- Oldstyle typefaces
- Order -- Conservative typefaces
- Power -- -Bold sans serif
- Grace -- Italics or scripts
- Precision -- New sans serifs and slab serifs
- Specific emotions -- Unusual, artistic fonts
- Confusion, disorganization -- mixture of many fonts
- Placement
- Points
- offsets to corner, not aligned with symbol
- Upper and Lower Case
- parallel to graticule esp. if graticule is visible
- Line
- parallel to line
- offset from line
- if curved, along one smooth curve
- for rivers, italix in direction of flow if possible
- on horizontal section, if possible
- words may be kerned for long linear features
- consistent break angle
- Area
- inside or outside area
- Always UPPER CASE, especially for countries
- kern letters to fill area
- Titles and legend
- Title usually highest on visual
hierarchy
- often appropriate for a carefully selected fancy font
- Title should emphasize the theme, not the location
- Other conventions
- Water bodies are always italicized
- Text size/font consistent for similar features, when possible
- kerning is permissable for area features
- underlining capital city names is common
- If polygon labels don't fit, consider abbreviating before shrinking
size
- If text it too small for linear features, consider using all capitals
- text size differences of 34 percent easily seen
- Finding and installing free fancy fonts
-
- Standard map style used by the Economist
- Interesting observation
about spelling
Conventional Symbology
- Coastal areas or water bodies
- vignetting
- icons (boats, waves)
- stippling
- form lines
- fountain fill
- sharpened contrast
- Topographic map symbology
- Mountains
- shaded relief map
- repeating symbols
- polygon area
- contours
- Rivers
- winding line
- variation in line width
- blue
- run under other features (e.g. roads)
- Land areas
- green, pale yellow
- gray for areas out of study area
- avoid deleting adjacent land masses
- double edge at coast
DIGITIZING -- not covered in 377
Coordinate systems
world coordinates
digitizer
coordinates
screen coordinates
Resolution vs accuracy
Registration
number and location of points
location of error
types of
registration
Snap-to distance
Determining number of nodes
digitizing curves
stream mode
points at junctions
Placement of points
Types of
polygons
simple
adjacent
perforated
embedded
fragmented
© Erick Howenstine
-- Geography & Environmental Studies 2004
Northeastern Illinois University: (773) 442-647 FAX:(773)442-56XX Email: E-Howenstine@neiu.edu
not to be used without permission