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4.1.2.3.3. Help Menu
Help menu provides information on how to use the system and background of the system development in brief. Because of time constraint, the help menu is
not completed yet.
4.1.3. System Testing
This section contain the illustration of result given by SUITSTAT on each trial of its functionalities, comprises of distribution mapping, geoprocessing and
habitat suitability modeling and the description on the graphical user interface.
4.1.3.1. Distribution Mapping Species Position Mapping
Species positioning maps performance was tested by using field survey data. The field survey data is inputted directly to or by loading the existing data into the
data entry form table. The position which represented by point data type is loaded into map viewer, altogether with intersected two imaginary lines for
position obtained with triangle method. Figure 28 shows the form and table which consists of species geographical position data, and map viewer that showed
created point and imaginary lines.
Figure 28. Species Positioning from Geographical Position Data
4.1.3.2. Geoprocessing
The result of geprocessing facilities assessment is described below:
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4.1.3.2.1. Buffering Point
Buffering point utility was tested by using point dataset which was generated using distribution mapping utility from field survey data. Both types of
buffering rectangle and circle types was tested and doing fine. The result of this utility are loaded into map viewer as visualized in the Figure 29.
a Rectangular Buffer Type a Circular Buffer Type
Figure 29. Buffering Point Result
4.1.3.2.2. Vector-based Grid Data Preparation
Vector-based grid is a chosen data model used in this system to process habitat suitability. SUITSTAT provides several processing function to convert
the original data in ESRI shape format into vector-based grid data model based on chosen geometric computation. Vector-based rasterizing was tested using data of
study area Mt. Salak in flat surface polygon and done successfully. The size of grid could be determined by the user. The smaller grid size, the longer process
will be taken. The conversion result is illustrated in the figure below.
a Flat Surface Polygon b Vector-based Grid
Figure 30. Vector Based Grid Conversion
57 The flat surface polygon is the only required input for vector-based
rasterizing. To be able to make a flat surface polygon, this system is also provided by dissolve function.
4.1.3.2.3. Dissolve
Principally, dissolve utility is succesfully working to multiparts polygon dataset. Unfortunately, there is still problem occurred using this utility to certain
dataset. Therefore, the dataset used for testing is not the dataset that used for habitat suitability model. Further discussion to this issue is provided later in the
discussion section. Figure 31 shows the input and output result dataset of dissolve utility.
a Input Dataset b Output Dataset
Figure 31. Dissolve Utility Result
4.1.3.3. Habitat Suitability
The inputs for habitat suitability utility spatial dataset of habitat factor, observation, and evaluated land datasets. Observation dataset was created from
buffering result on species distribution data and evaluated land is the output from vector-based grid process. The output dataset of vector-based gridding utility
does not have spatial properties information. The eco-geographical value in its attribute is acquired after extraction processing the possible eco-geographical
variable habitat factor dataset. As mentioned earlier, there are two types of spatial analysis family for each shape-type polygon, line, and point can be used, i.e.
contain analysis and neighbor proximity analysis.
58 a
b
c d
e f
Figure 32. Successful extracting original data a with three subclasses into separated classes a, b, c subsequently using contain analysis and
e and f using neighbor proximity analysis.
The experience using this system showed that the embedding process was done successfully for both spatial analyses, although it was tested limited only to
polygon and line shape type. The evaluation of the eco-geographical extraction result is depicted in the Figure 32.
The output of habitat suitability is viewed in the map viewer after calculation. Based on score, the output dataset can be shown in the map viewer
59 with more interpretable color symbol using classification utility. The result of
habitat suitability and its summary is illustrated in the figure below.
a b
Figure 33. The Suitability Information: a Form of Information Summary and b Habitat Suitability Map
4.1.3.4. Graphical User Interface
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