1.Aufgabenteil:
task was a town in Rhineland-Palatinate and select the least of these 30 areas with land prices in Google Earth to identify. Data on the prices you get on the website BORIS.RLP
City: Gerolstein
areas: 42
Step 1:
First, you open the homepage of BORIS.RLP and searches the selected city. Next, one makes a screenshot of the city, I have chosen Gerolstein.
Furthermore you open Google Earth and zoom in there as well to the city to be processed.
Step 2: Next, add
you insert using the tool "image overlay, a screenshot of the newly created city in Google Earth and to adjust that by Sklaieren to the air picture.
Step 3: Then
can now surround the tool "Polygon Add the areas with different land prices. The areas with the corresponding prices are BORIS.RLP read.
Step 4:
The polygons are now being processed. Color and height are selected appropriate to the floor price (€ / m²). The lower areas are green and flat, the more expensive higher and orange to red
<30€/m² – Dunkelgrün
30 € / m² - 39 € / m² - Green
40 € / m² - 49 € / m² - Yellow
50 € / m² - 59 € / m² - yolk yellow
60 € / m² - 90 € / m² - Orange
> 90 € / m² - Red
be worked selects the polygons in which you right-click Properties. Here, the name can be changed, select the color and height are specified. At the height choose "Relative to ground" then the desired height and then dials also have "Extend sides to ground."
2.Aufgabenteil:
was the second part of this exercise for extra safety control.
original list: 50, 45, 50, 45, 40, 45, 30, 32, 48, 48, 58, 40, 18, 34, 60, 60, 50, 32, 42, 18, 70, 50, 46, 42, 32, 46, 40, 55, 55, 180, 180, 45, 48, 38, 70, 50, 45, 50, 90, 50, 70, 45
(n = 42)
stem-leaf plot
Ordered list: 18, 18, 30, 32, 32, 32, 34, 38, 40, 40, 40, 42, 42, 45, 45, 45, 45, 45, 45, 46, 46, 48, 48, 48, 50, 50, 50, 50, 50, 50, 50, 55, 55, 58, 60, 60, 70, 70, 70, 90, 180, 180
Minimum: 18 Maximum
: 180
Wingspan: 162
mode: 50 (most frequent value)
median: 47
average: 52 (52.19)
outliers: 18, 180
Graph
Disskussion:
With the help of Google Earth shows land prices in Gerolstein color. This representation shows that the price of land in the city center are the most expensive, the suburbs are becoming more favorable toward it. In general, land prices relatively low. Except for two areas are located in the center. The price of land here differs greatly from the other prices. This could be because the center is the most attractive place to live. The demand is higher.
location parameter:
The definitions of location parameters are intended to describe the location of the sample elements or the elements of the population in terms of measurement scale. The descriptive statistics used to as location parameters (central tendency) of a distribution:
• Arithmetic mean
• Quantile: median, quartiles, deciles, percentiles
• Mode
• Geometric mean
• Harmonic mean
For random variables is called the expected value
scattering parameters:
Under a measure of variability or dispersion measure (also scattering parameter) is defined as statistical indicators, through their investigation, statements about the distribution of, for example, from weighing and counting dating, measurements taken around the center . let The descriptive statistics to describe the scattering (also variation or dispersion) with:
• empirical variance (short variance) (most important measure of dispersion) and standard deviation
• Span
• Mean absolute deviation
• Middle interquartile
In the statistical inference is if you talk von Varianz.
GIS-Statistik-Übung3_Luise.Hoffmann.372396.7z
