GEOGRAPHY 176B: TECHNICAL ISSUES IN GIS

LECTURE 7: THE NATURE OF GEOGRAPHIC DATA

1. SPATIAL DEPENDENCE

2. SPATIAL HETEROGENEITY

3. FRACTAL BEHAVIOR

4. AUTOMATED TRIAGE


1. SPATIAL DEPENDENCE

What do we expect geographic data to look like?

is it just any data?

or is spatial special?

how to design systems to handle a type of data

with certain specific properties

how to address the fundamental problem

that in principle geographic data is infinitely voluminous

are there laws of the geographic world?

can they be used to improve VGI quality

can we triage geographic facts

to identify the ones that are more likely to be true?

Tobler's First Law of Geography

dates from 1970

what to do about missing data?

how to fill the gaps?

Thiessen faced the same problem

how to estimate rainfall in places where no measurements had been made

Thiessen polygons

copy the measurement at the nearest raingauge

"all things are related, but nearby things are more related than distant things"

nearby things are more similar than distant things

phenomena vary slowly over the Earth's surface

compare time series

today's Dow index is not sampled independently from all possible values

it represents an incremental shift from yesterday's

the best forecast of today's temperature may be yesterday's

the best forecast of your house's value may be your neighbor's

what does this imply?

we can get away with sampling fields

e.g. at weather stations

filling in the gaps using estimation procedures

without Tobler's First Law there would be no spatial interpolation

we can create regions out of the Earth's surface

and expect little variation within them

we can create polygon datasets

without Tobler's First Law there would be no polygons

we can see if purported facts are consistent with their surroundings

horizontal context

or hot spots, cold spots

Flickr photo of Joe's cafe

is it true?

example of aging population

note scale issues

imagine a world without it

constantly falling off a cliff

a salt and pepper world

why does it happen?

how to measure the effect?

spatial dependence

spatial autocorrelation

two types of measures

Moran (and Geary) indices

semivariograms

exceptions

negative spatial autocorrelation

anomalies, outliers

anomalous Milwaukee census tract

what about the first part of the statement?

"all things are related"

horizontal context

the tendency for nearby things to be similar

vertical context

the tendency for things at the same location to be related

is it possible for two maps of the same area

showing different phenomena

to be completely unrelated?

or can you always tell they are of the same area

however different their content?


2. SPATIAL HETEROGENEITY

conditions vary over the Earth's surface

statistical non-stationarity

climate

social conditions

laws of physical sciences remain constant

virtually everything else changes

best fit ellipsoid changes

a global standard won't fit as well as a local one

some local ellipsoid standards

ellipse

ellipsoids

NAD83/WGS84 vs NAD27

classification systems change

every country in Europe

every state in the US

soil mapping in the Yucatan Peninsula

results of analysis of a limited area will change when the boundaries shift

how to generalize from a limited area?

is there an average place?

place-based analysis

results are unique to the study area

compare %black with median value by county in different states


3. FRACTAL BEHAVIOR

what happens to features as scale changes?

rivers, roads, coastlines get longer

polylines cut fewer corners

coast of Maine

surface area increases

the Earth's surface reveals more detail

the closer you look the more you see

Lewis Fry Richardson

The Statistics of Deadly Quarrels

Richardson plots

features reveal more detail at predictable rates

Benoit Mandelbrot

the theory of fractals

"geographical monsters"

lines that don't behave as lines

space-filling curves

fractional dimension

somewhere between 1 and 2

surfaces somewhere between 2 and 3

practical significance?

length of lines always underestimated

by an amount depending on scale

surface area always underestimated


4. AUTOMATED TRIAGE

Any more principles or laws?

How to improve VGI quality?

Wikimapia and Glen Annie Golf Course

description

Bergonia

Allestone

fractal analysis

settlement pattern

freeway intersections

histogram