(Vector) |
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Step 1: specify the file name and the location of storage |
- Double-click
SSSampling.
Pop-up under interface:
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Figure 1. Starting interface |
- Under "Sample Design": click on
,
choose a suitable file path to save the project files, such as: “sampling project”
- Under "The Map of The Region": click on
,
choose the hs_town.shp file
- Under "Sample Site Layer": click
,
choose a suitable file path and input the saved file of the sample sites, such as: samping sites
2 - 4 steps, as shown below:
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Figure 2.
Input the correlative project file
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- Click on the "Finish"
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Note: If at this time a sample range file and the map of the region
of interest is area based object, there will be no need to change
the sampling range settings. If the map of the region is
site based object, then the sampling range should includes the
object region for sample site .(for example, the sampling site is
samlingframe.shp, the sample range is hs_county.shp)
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Step 2: Choose sample model and set up sample region |
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After the previous step have been completed, click out of the
following interface
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Figure 3.
The setting graph of the sampling area
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- Choose “ Sandwich sampling model”, pop-up under window:
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Figure 4.
Layer setting graph |
There are three ways to set up stratification, but only one may be used at a time.
i. Open stratification: open the selected the stratification, then
click to open the stratification file, pop-up dialog box. The
selected stratification file must be the object of the regional set.
The stratified region must coincide with the map of region interest,
then select stratification feature that is, identification of the
different stratification features.
ii. Expert drawing stratification: first to create a new file to save
the expert drawing stratification. Then click start drawing, the
software will return to the map of region interest, experts draw the
broken line to divide the map of region interest into a number of
sub-regions. The each of sub-region is a stratum.
iii. Calculating stratification information: select stratification
information, open assisted variable information file. According to
certain features of the stratification of the file, the
features in the table will be added to the right of the window,
enter the number of layers before stratification( The default is
3), click the calculation of stratification to obtain the result
of stratification.
Click on "preview stratification map", we can
see the result of stratification.
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Set sampling resolution as 0.01, move pop-up window, you can see in
the middle of map of the region of interest there is a small box,
this is the smallest sampling unit based on input sample resolution.
According to input different sample resolution, the size of the box
will change in real time(if map of the region of interest is site
based object, there's no need to set up sampling resolution)
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Click "Scale" (or proportion of value determined by target
value)
- Click "Next"
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Step 3: Calculation of the sample size |
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After the previous step have been completed, pop-up
following interface.
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Figure 5. Compute the sample size |
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Input parameters and verify the correctness of the input parameters.
When click "Unknown Cost", cann't fill out the cost
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Click on the "Compute Sample Size," and obtain the relationship
graph between precision and sample size and cost.
as shown below
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Select a different function, obtain a different sample precision
relationship graph
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Click on the name of calculation functions, we can see that each
function uses different parameters
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Select "Proportion", which is the actual number of samples compared to
the theoretical value, as shown below
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Figure 6. Sample size graph(The left is total cost-sample size graph, which is gained by program calculation, the right is cost-sample size graph, which is gained by the product of the cost per sampling unit and the sample size.) |
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Click on “Back” to return the parameters interface, can modify
parameters
- Click on the "Finish", determined sample function
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Back to the design parameter interface, click "Finish", complete
sample size calculation and system will generate sample site
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Step 4: Statistical inference
results |
- Double-click
SSSampling.
launch pop-up interface:
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Select " Open Sampling Design ", open the project file which
generated in the first step.
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Figure 7 Project file |
- Click OK, click out of the pop-up dialog for data input.
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Select "Import from File
", open the saved data file (the file format is
txt), then select the property of the calculation value (generally
value)
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Or select manually input file, enter value directly under the value
field in the form. Then select the property of calculation value.
- Sampling model has two kinds of situations
i.
Directly click" Next", obtain sampling results
ii.
Select sampling model, and then select spatial random model,
get different results. Or choose spatial, spatial stratified
and sandwich layered model, this time pop-up dialog box,
which need to enter the relevant stratification file(for
example: If the data is in order, natural stratification file
using stritify.shp, reporting unit using hs_town.shp which
only used in the sandwich model).
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Figure 8.
Input the data |
- Click “ Next”, show up a sampling results map:
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Figure 9 Sampling results |