GIS Exercise –Spring 2011 1 GIS Exercise – April 2011 Maria Antonia Brovelli Laura Carcano, Marco Minghini ArcGIS exercise 2: Field analysis/exploring data Introduction : In this exercise we will start from the data visualization, some simple data interpolation example, and then we will do some basic computation of derived information, using ArcMap and Arc Scene; further attention should be paid particularly to the modules 3D Analyst, Spatial Analyst, Geostatistical Analyst and ArcToolbox. Moreover we’ll go to the second step that consists in the exploration of data and in this section we will answer some questions about the data: What is data distribution? Is the histogram symmetric or skewed? Do the data show any spatial trend? In this exercise lesson we will take a look in detail at these questions by examining some examples on calculating the statistical values of the data, then exploring the data distribution. Data : I. Lidar1.dbf III. Piombino.dbf
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GIS Exercise –Spring 2011 1
GIS Exercise – April 2011
Maria Antonia Brovelli
Laura Carcano, Marco Minghini
ArcGIS exercise 2: Field analysis/exploring data
Introduction:
In this exercise we will start from the data visualization, some simple data
interpolation example, and then we will do some basic computation of derived
information, using ArcMap and Arc Scene; further attention should be paid
particularly to the modules 3D Analyst, Spatial Analyst, Geostatistical
Analyst and ArcToolbox.
Moreover we’ll go to the second step that consists in the exploration of data
and in this section we will answer some questions about the data: What is
data distribution? Is the histogram symmetric or skewed? Do the data show
any spatial trend?
In this exercise lesson we will take a look in detail at these questions by
examining some examples on calculating the statistical values of the data,
then exploring the data distribution.
Data:
I. Lidar1.dbf
III. Piombino.dbf
GIS Exercise –Spring 2011 2
I. Field analysis
Data:
Lidar1.dbf
1. Visualization of the data in 2D
• Add data -> select the file Lidar1.dbf
To display the data we have to set the spatial attributes and the data
reference system:
• Right click on the name Lidar 1 -> Display XY data – put X field=N1, Y field=N2, Z
field=N3; change the reference system clicking on Edit… -> … -> Monte Mario
Italy1.prj
Not all the data are displayed, and so we have to set the number of data to be
treated, assigning a maximum sampling number larger than the total
number of the data contained in the dataset:
• Right click on the layer name -> Properties -> Quantities -> Quantity numbers:
Classify -> Sampling – put a number higher than 38000 (ex. 50000); and change
the colours of the field using a color ramp over the N3 fields, with for example 5