Term
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Definition
[image]
vector representations of continuous data
helpful in 3 dimensions |
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Term
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Definition
created infinite numbers of points
line drawn on interpolated values between points
once drawn smooth
- when points are few
- interpolate additional point value
- then interpolate isolines
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Term
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Definition
types of isolines = quantitative data types can be collected as points
many as specific names
Examples:
isobath
isocline
isohips |
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Term
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Definition
each line = 1 meter
context lines = multiples of isolines |
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Term
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Definition
[image]
spreadsheets
row & columns = forms cells
grid = rows
columns = tessellations
data unit = spatial (cell) --- x,y = implicit
entity (object) info = explicity encoded
each cells must have numeral value
all about numbers
analytical modeling |
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Term
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Definition
natural world = continuous data
ideal spatial model to illustrate these surface
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Term
Natural Surfaces Examples
Raster |
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Definition
[image]
- Elevation
- Surfaces symbolized low & high using color ramps
- elevation
- ramp colors - rising & lowering elevation
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Term
Color Ramps & Continuous Surfaces |
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Definition
Color Ramps = stretched data
stretched data organized values into 256 classes |
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Term
Color Ramps & Continuous Surfaces
Examples |
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Definition
[image]
Hillshades = create classic cartographic product a shaded relief map
use as reference layer, to help ppl orient themselves within map |
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Term
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Definition
[image]
flat surface
appear 3D
Seldom
Digital
animated to different perspectives |
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Term
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Definition
nominal, ordinal, interval, ratio
numbers = data scale |
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Term
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Definition
telephone numbers
establish identity
race = individuals have numbers to identify him
not order & value |
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Term
Ordinal Data Scale
Data Scale |
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Definition
establish order
1st place, 2nd place, 3rd place
phone number is NOT ordinal |
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Term
Interval Scale
Data Scale |
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Definition
no absolute zero
negative values
degrees
100oC
-50oC |
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Term
Ratio Scale Data
Data Scale |
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Definition
has absolute zero
no negative values
weight = 50 kg
direct composition |
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Term
Why we should care?
Data Scale |
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Definition
different types of analysis
different cartographic symbols
different inappropriate values |
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Term
nominal or categorical data
{data classifications} |
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Definition
qualitative: ordered but without a measurable range
no absolute values |
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Term
ordinal data
{data classifications} |
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Definition
relative NOT absolute value
deals with quantitative but without a measurable range
using numbers label ordinal
data often confusing |
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Term
interval data
{data classificitions} |
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Definition
quantitative: has NO absolute zero
subtraction works NOT division
class range = absolute zero
negative numbers |
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Term
ratio scale data
{data classifications} |
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Definition
quantitative: absolute zero so both
subtraction & division work
no negative values in classification |
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Term
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Definition
sorting or arranging entities into groups or categories
number of classes usually between 5 & 10,
more likely 5 than 10
classifcation methods vary depending on data
ArcGIS = # of classification |
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Term
Equal Interval
{data classification} |
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Definition
[image]
constant interval between classes # of observations will be different from class to class
Good = direct comparisons between different choropleth maps |
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Term
Calculating Equal Interval
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Definition
subtract minimum from maximum
divide result by # of classes
result = width of each class
add value with minimum value for first class
repeat until done |
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Term
Quantile
{data classification} |
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Definition
[image]
equal # of observation per class
same class = interval between classes = different
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Term
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Definition
divide count of features by # of classes
arrange features least to greatest
divide into classes = matches result of division equation |
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Term
Jenks - Natural Breaks
{data classification} |
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Definition
[image]
minimizes variance within a class
by dividing classes in areas
different sized class &
different # of observations |
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Term
Mean & Standard Deviations
{data classification} |
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Definition
[image]
classes = mean & deviations from the mean
best if data displays a nominal distribution |
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Term
Calculating Mean and Standard Deviation |
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Definition
- Calculate the mean of data
- Calculate the standard deviation of data
- Arrange your first class to straddle[stand] mean
- Then add classes at intervals of standard deviation both above and below the mean class
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Term
Quantile - 5 Classes using 7,1,18,20,6,14,19,13,21,25,2,23,1,15 |
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Definition
using 3 observation: (1,1,1) (2,2,6) (7,13,14) (15,18,19) (20,23,25) |
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Term
Equal Interval - 5 classes using 7,1,18,20,6,14,19,13,21,25,2,23,1,15 |
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Definition
(1,1,1,2,2) (6,7) (13,14,15) (18,19,20) (23,25) |
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Term
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Definition
- diagram or abstract geographical to distorted proportionally value of an attribute
- NOT that useful
- Trade off between Area error and shape error
- Hard to make a real shapes
- Do not use cartograms to show average values, per capita, values, etc
- People look what’s on the map but comparing to what’s in their head
- CANNOT show mean, average
[image] |
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Term
World Population
{Cartogram} |
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Definition
[image]
Area scale accurately represents selected variable
Contiguity is maintained
Shapes should remain recognized
World population is useful but not as continuity |
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Term
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Definition
[image]Look cool and artistic but hard to read
Election Count by counties NOT states |
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Term
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Definition
- Contiguous
- Non - Contiguous
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Term
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Definition
Maintained Recognized = shapes
Area scale accurately selected
Advantages:
Easy to read
Disadvantage:
Distortion can confuse reader
Shapes of internal numeration may recognition impossible
Difficult to produce through commercial GIS software
The circle population = contiguity
[image] |
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Term
Non - Contiguous
{Cartogram} |
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Definition
Not maintained
Area scale accurately recognized selected
Advantage:
Easy to construct GIS
True shapes of enumeration units
Disadvantage:
Separated
No compact
White spaces
Do not convey continuous nature of geographical space
Trade off between maintaining relative positive of enumeration unit and not overlapping
[image] |
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Term
Restrictions on Cartogram |
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Definition
Shape quality: cartograms useless? some approximation of true shape can be achieved
Each enumeration unit needs size, shape, orientation and contiguity…
Least important = communication |
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Term
Data Limitation Cartogram |
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Definition
Data must be ratio
Positive values in data sets with large range are problem.
Negative values cannot be mapped
Zero values eliminate the enumeration unit, creating map |
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Term
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Definition
Calculate total value for enumeration units based on single attribute
Compute proportional area of enumeration unit’s base on attribute value for each divided by total value
Draw, calculate and conform shapes and values |
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