Choroplethenkarte - Daten zur Reaktion der Feuerwehr

Question

<\/HEAD>Hallo,<\/P> <\/P> Ich bin in der 4. Woche des Kurses "Going Places with spatial analysis" und habe eine Anschlussfrage bezüglich der Daten zur Reaktion der Feuerwehr. Wie wir im Unterricht gelernt haben, ist es am besten, die Daten zu normalisieren, um eine genaue Vergleichbarkeit zwischen den Gebieten bei der Erstellung einer Choroplethenkarte zu gewährleisten. Es wurde erwähnt, dass man bei Kriminalitätsdaten die Anzahl der Anrufe zählt und dann durch die Fläche teilt. Ich bin mir nicht sicher, was das genau bedeutet.<\/P> <\/P> Haben Sie einen Vorschlag, wie ich meine Daten zur Feuerwehreinsatzreaktion richtig normalisieren kann, um sie in einer Choroplethenkarte zu verwenden?<\/P> <\/P> Danke,<\/P> Brent<\/P><\/BODY><\/HTML>

BrentVan_Scoy__Fire_ · Answer

Yes is a fantastic response. I recall reading the intensive data verus extensive data in an article this week.

Understanding Statistical Data for Mapping Purposes

I will have to go back and compare what you are describing as it pertains to fire departement response data.

Thank you for the comments.

Brent

hhet · Answer

dividing a total "count" by an areal extent will give you a relative measure of your variable.

the final units are aka density.Density is a relationship.

in arcGIS 10.1 , you use Layer Properties to draw quantities using symbol size to show relative value by chooosing the appropriate fields for both Value and Normaliztion.

Larger areas may or may not influence the numerical values you want to classify. What you are doing in this calcaulation is deriving  spatially intensive data from spatially extensive data. dividing one sum (as in, summary statistic) by another sum will yield you a spatially independent (of size) unit. Note that areas and perimenters are also considered summary statistics.

if you split the areal unit and recalulate (but first you make the basic assumption that the counts are uniformly distributed across the area),  the density value will remain the same as before but the counts and the area will not say the same. Proportions, though calulated differently than density, are also spatially extensive.

spatially extensive data should not be used to symbolize a chorolpleth map although this mistake is made over and over again by the uninitiated

h

BrentVan_Scoy__Fire_ · Answer

Hi Robin,

I will give that a try. I just normalized it by square miles, but I like the idea of the population also.

Thank you for the reply.

Brent

Omaha Fire Department