Showing posts with label model builder. Show all posts
Showing posts with label model builder. Show all posts

Monday, November 24, 2008

ARCGIS Data Interopability

ARCGIS Data Interopability sebuah ekstensi yang luar biasa, muncul di ArcGIS 9.2 (kalo tidak salah..mohon koreksinya),,,
ArcGIS Data Interopability menghancurkan tembok pembatas layaknya dinding-dinding yang menjadi sekat pembatas akses data langsung, transformasi data, dan kemampuan export data.
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Apa itu Interoperability : http://en.wikipedia.org/wiki/Interoperability
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ArcGIS mengeluarkan ekstensi ARCGIS Data Interopability ini membantu pengguna ArcGIS Desktop sehingga mudah dalam penggunaan dan distribusi data dalam berbagai format.
Dengan ArcGIS Data Interopability kita dapat secara langsung lebih dari 75 format data spasial, ekxport ke lebih dari 50 format data spasial, penggunaan semantic data translation engine dengan 150 transformer khusus, integrasi dengan geoprocessing termasuk Model Builder untuk menambahkan manipulasi format data dalam pemodelan GIS.
Berikut ada :
Summary supported format di ArcGIS Data Interopability
dalam format pdf berisi format data yang didukung di ArcGIS Data Interopability.
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Gambar di atas ku cuplik2 dan gabung-gabung.. :)
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Menggunakan Tools Ekstensi Data Interopability
Using the Data Interoperability Extension tools
These tools can be organized into three functional areas:
Direct read tools
- Direct Read
The simplest way to directly read non-ESRI data formats is by browsing to the datasets in the Catalog Tree. This ability only requires that the Data Interoperability Extension is enabled. This user experience is similar to browsing for ESRI data formats. The representation of the data will depend on the format - some will posses containers with feature classes and others will be single files.

Kita bisa melihat berbagai format data spasial melalui ArcCatalog Tree..
Bisa juga kita mengakses format data non-ESRI dari ArcMap lewat Add Data

- Interoperability Connections
Metode lain untuk membaca data non-ESRI ialah dengan menggunakan Interoperability Connections tool.

This tool provides a more robust method for directly reading your data sources. It allows you to make a connection to a data source or a collection of data sources.
Once the connection is made, data sources will appear underneath the Interoperability Connection tree and are available for use.

Here are some reasons why you may want to use an Interoperability Connection:
* Maintain database connections
* View formats with non-standard file extensions that not be recognized by the Catalog Tree
* Aggregate many tiles of data
* Add formats that require parameters like usernames and passwords
* Specify the coordinate system

Quick conversion tools
The Data Interoperability Extension provides the following tools to quickly convert data: Quick Import and Quick Export. These tools are intended for simple data translations - where the number of input features will match the number of output features. In other words, it is a one to one translation (i.e., flat conversion).
These tools do not require a lot of preparation, so they are ideal for scenarios where you need to convert data quickly. Both of these tools can be incorporated in a Geoprocessing model or script. This allows you to combine the conversion with other Geoprocessing operations. It is important to note that Quick Import and Quick Export will not modify feature geometry or schemas during the conversion.

Quick Import
The Quick Import tool allows you to convert input data formats to a geodatabase. Quick Import is a geoprocessing tool and resides in the Data Interoperability Tools toolbox. Double clicking the tool will open the Quick Import dialog box which will allow you to specify an input data and output staging geodatabase that will define the translation.

Quick Export
The Quick Export tool allows you to convert layers to an output dataset. Like Quick Import, Quick Export is also a geoprocessing tool that resides in the Data Interoperability Tools toolbox. Double clicking the tool will open the Quick Export dialog box which will allow you to specify input layer(s) and an output dataset.

Data transformation tools
Data transformation tools are used to manipulate and transform data. They can perform both schema and geometric restructuring as you convert data to a new output data source. For example, you can add, remove or rename attributes, and calculate or assign values to new or existing attributes. These tools allow you to integrate complex data model restructuring within the geoprocessing environment.
The Workbench application is included with the ArcGIS Data Interoperability extension. This application is a visual diagramming environment that supports dozens of transformers that enable you to transform both geographic and attribute information. You can use the Workbench application to create custom data tools for transforming data as you create new data sources and create custom formats to transform data on-the-fly. These tools use Safe Software's feature manipulation language of their Feature Manipulation Engine (FME). They allow for schema redefinitions and give the user full control of the data translation and transformation process.
Spatial ETL
The Spatial ETL tool provides data transformation capabilities within the geoprocessing environment. It replaces the three custom tools (Custom Data Import, Custom Data Export, and Custom Data Transformation) that were available in previous versions of ArcGIS 9.x. Therefore, it can be used for importing, exporting, and transforming data. Spatial ETL now provides a single tool for all of your data transformation workflows.



source : ArcGIS Dekstop Help, http://www.esri.com/software/arcgis/extensions/datainteroperability/index.html, http://myesri.blogspot.com/2006/07/arcgis-data-interoperability.html, http://en.wikipedia.org/wiki/Spatial_ETL,http://en.wikipedia.org/wiki/Interoperability

Spatial and Non-Spatial Regards...

Aji Putra Perdana

Wednesday, November 19, 2008

ArcGIS Model Builder

An overview of ModelBuilder

ArcGIS Model Builder

ModelBuilder is an application in which you create, edit, and manage models. If you haven't done so already, you should read Creating a simple model, for it shows you, by example, the basic tasks of creating a model in ModelBuilder. You should also read An overview of model concepts and terms and the topics referenced there, since they define many of the terms used here.

The components of the ModelBuilder application are shown below.



There are five pull-down menus on the Main menu.








The toolbar has the following buttons and tools:








Read a synopsis of this toolbar

* The Add Data or Tool button is discussed in Creating model processes.
* Navigation tools are discussed in Navigating a model.
* Select Element allows you to select an element for moving, copying, accessing properties, and deleting.
* The Connect tool connects elements, such as a data variable to a tool, and is discussed in Creating model processes.
* The Run button runs the model and is discussed in Running a model.



You cannot customize this toolbar.

The topics that follow discuss the use of ModelBuilder and the mechanics of creating, editing, and managing models.


Model building approaches discusses the two basic approaches to model building.

When you build a model, you create processes (a process is a tool plus its data) and the connections between them, and Creating model processes shows you how.

You can run your models within ModelBuilder, or execute them like any other tool using the tool dialog or the Command Line window. Running a model shows you how to run models within ModelBuilder.

Validating a model shows you how to check your model for errors and to synchronize data variables.

Model environments discusses the use of geoprocessing environment variables and how they can be used in models.

Model appearance shows how you can change the look and arrangement of model elements to increase readability.

You can print a model diagram (Printing a model), generate and print a report (Model reporting), and export a model to a script (Exporting a model).

Model documentation is very important for sharing models. Documenting a process shows how to provide documentation for individual model processes.

-------- source information : http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=An_overview_of_ModelBuilder

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ArcGIS Model Builder :
Terrain Analysis using Model Builder

Prepared by David R. Maidment and David G. Tarboton
Fall 2004

This tutorial shows how to solve a simple terrain processing and hydrologic analysis problem using the ArcGIS Model Builder to develop an automated workflow sequence. The input data are two small grids that can be typed in a word processor elev.txt and rain.txt. These grids contain a 6-line header file which defines the number of rows and columns, the coordinates of the lower left corner, the cellsize and the value for cells which have no real data in them. Then the data values follow in row-column format. All dimensions of the terrain grid are in meters and the rainfall is in mm.


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ArcGIS Model Builder
Local Examples of ArcGIS 9 Model Builder

VSDP Roundtable
13 July 2005


1. Montpelier Development Potential
Daniel Currier, Central Vermont Regional Planning Commission
http://www.centralvtplanning.com/

2. Natural Lands Trust Green Plan 2005
David Felcan, Avencia Incorporated
http://www.avencia.com/

3. Species Habitat Modeling
Ernest Buford, UVM Spatial Analysis Laboratory
http://www.uvm.edu/envnr/sal/

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ArcGIS Model Builder
Montpelier Development Potential Model

CVRPC used this model to analyze development potential in the town
of Montpelier. The model basically performs many unions to overlay
eleven input layers that have all been scored according to their effect
on development potential.

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ArcGIS Model Builder
National Lands Trust Green Plan Model

The NTL Green Plan model combines several protected lands layers (polygon shapefiles)
into a single protected lands layer and performs an analysis that is used to identify
"hubs" of protected land that might serve as the core areas of a more well-connected
network of protected land.


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ArcGIS Model Builder
Species Distribution Modeling

One common way to create predicted distribution maps for animals is to
reclassify a land cover layer according to whether or not the species in
question would be predicted to use each cover type. These simple species
maps are often modified by using range data or such ancillary information as
elevation or distance to water. The Spatial Analysis Lab has done several
projects using this type of technique.



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ArcGIS Model Builder

bEST ReGards,

Aji Putra Perdana
- free gis'er -

Salam SPaSial dan NoN sPasiAL