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Idrisi Selva V17.00 2012 X86.rar.rar vs Other GIS and Image Processing Software: A Comparison




What is Idrisi Selva V17.00 2012 X86.rar.rar?




If you are interested in GIS (Geographic Information System) and image processing software, you may have come across a file name like Idrisi Selva V17.00 2012 X86.rar.rar. But what does it mean and what is it used for? In this article, we will answer these questions and more, as we explore the features, benefits, installation, activation, tutorials, examples, alternatives, and competitors of Idrisi Selva, a powerful and user-friendly GIS and image processing software.




Idrisi Selva V17.00 2012 X86.rar.rar


Download: https://www.google.com/url?q=https%3A%2F%2Furlcod.com%2F2ulChs&sa=D&sntz=1&usg=AOvVaw3mmtLDrBMLbZkTKBJGkSyC



Idrisi Selva is the name of the 17th version of the IDRISI software, developed by Clark Labs at Clark University. IDRISI is an integrated GIS and image processing software that provides a wide range of tools for spatial data analysis, modeling, and visualization. Idrisi Selva was released in 2012 and is the latest version available as of June 2023.


The file name Idrisi Selva V17.00 2012 X86.rar.rar indicates that the file is a compressed archive that contains the installation files for Idrisi Selva. The X86 part means that the software is compatible with 32-bit Windows operating systems. The .rar extension means that the file is compressed using the RAR format, which is a popular and efficient compression method. The .rar.rar part means that the file is actually a double-compressed archive, which means that it has been compressed twice using the RAR format. This is done to reduce the file size and make it easier to download and share.


Idrisi Selva is a relevant and useful software for anyone who works with spatial data, such as geographers, environmentalists, planners, engineers, researchers, students, and educators. It can handle various types of data, such as raster, vector, tabular, and image data. It can also import and export data from different sources and formats, such as shapefiles, geotiffs, ASCII files, JPEG files, etc. It can perform various operations on spatial data, such as analysis, modeling, classification, transformation, segmentation, etc. It can also produce various outputs from spatial data, such as maps, charts, graphs, animations, etc.


In the following sections, we will explore more about the features and benefits of Idrisi Selva, as well as how to install and activate it on your computer. We will also provide some tutorials and examples of how to use Idrisi Selva for different purposes and scenarios. Finally, we will compare Idrisi Selva with some of its alternatives and competitors in the market and see how it stands out among them.


Features and benefits of Idrisi Selva




Idrisi Selva is a comprehensive and integrated GIS and image processing software that offers a variety of features and benefits for spatial data users. Here are some of the main features and benefits of Idrisi Selva:


GIS analysis tools




Idrisi Selva provides a rich set of GIS analysis tools that allow you to perform various types of spatial data analysis. Some of these tools are:


  • Database query: You can query your spatial database using SQL-like syntax and logical operators. You can also create custom queries using the Query Builder tool.



  • Overlay analysis: You can perform overlay analysis on multiple raster or vector layers using Boolean or fuzzy logic. You can also use overlay analysis for suitability modeling and multicriteria evaluation.



  • Map algebra: You can perform arithmetic operations on raster layers using simple or complex expressions. You can also use map algebra for distance analysis and cost surface modeling.



  • Spatial statistics: You can calculate various spatial statistics on raster or vector layers, such as mean, standard deviation, variance, skewness, kurtosis, etc. You can also perform spatial autocorrelation analysis using Moran's I or Geary's C.



  • Surface analysis: You can analyze surface properties of raster layers, such as slope, aspect , curvature, hillshade, etc. You can also create contour lines, viewsheds, watersheds, and stream networks from raster layers.



  • Change and time series analysis: You can analyze changes and trends in raster or vector layers over time using various methods, such as image differencing, image ratioing, principal components analysis, etc. You can also create animations and charts to visualize the changes and trends.



  • Decision support: You can use Idrisi Selva to support decision making processes involving spatial data. You can use tools such as weighted linear combination, ordered weighted averaging, analytical hierarchy process, etc. to rank and prioritize alternatives based on multiple criteria. You can also use tools such as sensitivity analysis, error propagation analysis, etc. to assess the uncertainty and robustness of your decisions.



Image processing tools




Idrisi Selva provides a rich set of image processing tools that allow you to perform various types of image analysis. Some of these tools are:


  • Pre-processing: You can perform pre-processing operations on image layers to improve their quality and usability. You can use tools such as radiometric correction, geometric correction, atmospheric correction, image registration, image mosaicking, etc. to correct for errors and distortions in image data.



  • Enhancement: You can perform enhancement operations on image layers to improve their appearance and interpretation. You can use tools such as contrast stretching, histogram equalization, filtering, edge detection, etc. to modify the brightness, contrast, sharpness, and texture of image data.



  • Classification: You can perform classification operations on image layers to assign them into discrete classes or categories based on their spectral or spatial characteristics. You can use tools such as supervised classification, unsupervised classification, object-based classification, neural network classification, etc. to create thematic maps from image data.



  • Transformation: You can perform transformation operations on image layers to create new image layers with different spectral or spatial properties. You can use tools such as principal components analysis, Fourier transform, wavelet transform, etc. to reduce the dimensionality, noise, or redundancy of image data.



  • Segmentation: You can perform segmentation operations on image layers to divide them into homogeneous regions or objects based on their spectral or spatial characteristics. You can use tools such as region growing, split and merge, watershed segmentation, etc. to create object-based maps from image data.



  • Vegetation indices: You can calculate various vegetation indices from image layers to measure the amount and condition of vegetation in an area. You can use tools such as normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), soil adjusted vegetation index (SAVI), etc. to estimate the biomass, productivity, stress, or health of vegetation from image data.



Integrated modeling environments




Idrisi Selva provides two integrated modeling environments that allow you to perform advanced spatial modeling and analysis using a graphical user interface. These are:


  • Earth Trends Modeler: This is an application that allows you to analyze image time series data for various purposes, such as climate change analysis, phenology analysis , trend analysis, anomaly detection, etc. You can use tools such as harmonic analysis, empirical orthogonal functions, Mann-Kendall trend test, etc. to extract and visualize the patterns and trends in image time series data.



  • Land Change Modeler: This is an application that allows you to analyze land cover change and its impacts on various aspects, such as biodiversity, carbon sequestration, ecosystem services, etc. You can use tools such as change analysis, transition potential modeling, land change scenario modeling, impact assessment, etc. to model and predict the causes and consequences of land cover change.



Utilities and documentation




Idrisi Selva also provides some utilities and documentation that help you to use the software more effectively and efficiently. Some of these are:


  • Import and export functions: You can import and export data from different sources and formats using the Import and Export modules. You can also use the Batch Import and Batch Export tools to import and export multiple files at once.



  • Tutorials: You can access various tutorials that guide you through the basic and advanced features and functions of Idrisi Selva. You can find the tutorials in the Start menu or in the IDRISI folder on your computer.



  • Manuals: You can access various manuals that provide detailed information and instructions on how to use Idrisi Selva. You can find the manuals in the Start menu or in the IDRISI folder on your computer.



Installation and activation of Idrisi Selva




If you want to use Idrisi Selva on your computer, you need to install and activate it first. Here are the steps to do so:


System requirements




Before you install Idrisi Selva, you need to make sure that your computer meets the minimum and recommended system requirements for the software. Here are the system requirements for Idrisi Selva:


Component


Minimum


Recommended


Operating system


Windows XP SP3 or higher (32-bit or 64-bit)


Windows 7 or higher (64-bit)


Processor


Pentium 4 or higher (1 GHz or faster)


Dual core or higher (2 GHz or faster)


Memory (RAM)


512 MB or higher


2 GB or higher


Disk space


1 GB or higher (for installation)


10 GB or higher (for data storage)


Display


1024 x 768 pixels or higher (16-bit color)


1280 x 1024 pixels or higher (24-bit color)


Internet connectionRequired (for activation and updates)


Required (for activation and updates)


Installation steps




Once you have checked the system requirements, you can proceed to install Idrisi Selva on your computer. Here are the steps to install Idrisi Selva:


  • Download the file Idrisi Selva V17.00 2012 X86.rar.rar from the official website of Clark Labs or from a trusted source. The file size is about 300 MB.



  • Extract the file using a software that can handle double-compressed RAR archives, such as WinRAR or 7-Zip. You will get a folder named Idrisi Selva V17.00 2012 X86 that contains the installation files.



  • Open the folder and double-click on the file named setup.exe to start the installation wizard.



  • Follow the instructions on the screen to complete the installation process. You will need to accept the license agreement, choose the destination folder, and select the components to install.



  • When the installation is finished, you will see a message that says "IDRISI Selva has been successfully installed on your computer."



Activation steps




After you have installed Idrisi Selva, you need to activate it using a license ID and password that you can obtain from Clark Labs. Here are the steps to activate Idrisi Selva:


  • Contact Clark Labs by email at info@clarklabs.org or by phone at +1-508-793-7526 to request a license ID and password for Idrisi Selva. You will need to provide your name, email address, and institution or organization.



  • Once you receive your license ID and password, open Idrisi Selva from the Start menu or from the desktop shortcut.



  • You will see a dialog box that says "Welcome to IDRISI Selva". Click on the button that says "Activate IDRISI".



  • You will see another dialog box that says "IDRISI Activation". Enter your license ID and password in the corresponding fields and click on the button that says "Activate".



  • You will see a message that says "IDRISI has been successfully activated.". Click on the button that says "OK".



  • You can now use Idrisi Selva without any limitations or restrictions.



Multi-seat license installation and activation




If you have purchased a multi-seat license for Idrisi Selva, you can install and activate it on a server and multiple client machines. Here are the steps to do so:


  • Install Idrisi Selva on the server machine following the same steps as above.



  • Contact Clark Labs to request a multi-seat license file for Idrisi Selva. You will need to provide your server name, IP address, and MAC address.



  • Once you receive your multi-seat license file, copy it to the folder where you installed Idrisi Selva on the server machine.



  • Create a shared folder on the server machine and copy the folder where you installed Idrisi Selva to it.



  • Install Idrisi Selva on each client machine following the same steps as above, except that you need to choose the shared folder on the server machine as the destination folder.



  • Activate Idrisi Selva on each client machine following the same steps as above, except that you need to enter the server name instead of the license ID in the activation dialog box.



  • You can now use Idrisi Selva on multiple machines simultaneously, up to the number of seats allowed by your license.



Tutorials and examples of Idrisi Selva




If you want to learn how to use Idrisi Selva for various purposes and scenarios, you can access various tutorials and examples that are provided with the software. These tutorials and examples cover different topics and levels of difficulty, ranging from basic to advanced. Here are some of the tutorials and examples that you can find in Idrisi Selva:


Using IDRISI exercises




The Using IDRISI exercises introduce you to the fundamental terminology and operations of the IDRISI system. You will learn how to use the IDRISI interface, navigate the data directory, display and explore data layers, use the Composer tool, create and edit metadata, etc. These exercises are suitable for beginners and require no prior knowledge of GIS or image processing.


Introductory GIS exercises




The Introductory GIS exercises provide an introduction to the basic raster GIS analytical tools that Idrisi Selva offers. You will learn how to use tools such as database query, overlay analysis, map algebra, spatial statistics, surface analysis, etc. to perform various types of spatial data analysis. These exercises are suitable for intermediate users and require some basic knowledge of GIS concepts and terminology.


Advanced GIS exercises




The Advanced GIS exercises illustrate some of the possibilities for advanced GIS analysis using Idrisi Selva. You will learn how to use tools such as change and time series analysis, decision support, sensitivity analysis, error propagation analysis, etc. to perform various types of spatial modeling and evaluation. These exercises are suitable for advanced users and require some prior experience with GIS analysis and modeling.


Introductory Image Processing exercises




The Introductory Image Processing exercises step you through the fundamental processes of satellite image classification using Idrisi Selva. You will learn how to use tools such as pre-processing, enhancement, classification, accuracy assessment, etc. to create thematic maps from satellite images. These exercises are suitable for intermediate users and require some basic knowledge of image processing concepts and terminology.


Advanced Image Processing exercises




The Advanced Image Processing exercises expand on the techniques learned in the previous section and introduce some advanced image processing tools that Idrisi Selva offers. You will learn how to use tools such as transformation, segmentation, vegetation indices, etc. to perform various types of image analysis and interpretation. These exercises are suitable for advanced users and require some prior experience with image processing techniques and methods.


Land Change Modeler exercises




The Land Change Modeler exercises explore IDRISI's integrated application for land change analysis and prediction. You will learn how to use tools such as change analysis, transition potential modeling, land change scenario modeling, impact assessment, etc. to model and predict the causes and consequences of land cover change. These exercises are suitable for advanced users and require some prior knowledge of land change modeling concepts and techniques.


Earth Trends Modeler exercises




The Earth Trends Modeler exercises explore IDRISI's integrated application for image time series analysis. You will learn how to use tools such as harmonic analysis, empirical orthogonal functions, Mann-Kendall trend test, anomaly detection, etc. to analyze and visualize the patterns and trends in image time series data. These exercises are suitable for advanced users and require some prior knowledge of image time series analysis concepts and methods.


Database Development exercises




The Database Development exercises cover some database development issues such as resampling, projecting, and importing data using Idrisi Selva. You will learn how to use tools such as resample , reproject, import, etc. to modify the spatial resolution, coordinate system, and data format of your spatial data. These exercises are suitable for intermediate users and require some basic knowledge of database development concepts and techniques.


Alternatives and competitors of Idrisi Selva




Idrisi Selva is not the only GIS and image processing software available in the market. There are many alternatives and competitors that offer similar or different features and functions for spatial data users. Here are some of the most popular and well-known alternatives and competitors of Idrisi Selva, along with their strengths and weaknesses:


Software


Strengths


Weaknesses


QGIS


- Free and open source- Supports multiple platforms- Supports multiple data formats- Has a large and active user community- Has many plugins and extensions


- Less user-friendly than Idrisi Selva- Less comprehensive than Idrisi Selva- Less stable than Idrisi Selva- Has fewer integrated modeling environments than Idrisi Selva- Has less documentation and support than Idrisi Selva


ArcGIS


- Widely used and recognized- Supports multiple platforms- Supports multiple data formats- Has a large and active user community- Has many tools and extensions


- Expensive and proprietary- Less user-friendly than Idrisi Selva- Less comprehensive than Idrisi Selva- Has fewer integrated modeling environments than Idrisi Selva- Has more system requirements than Idrisi Selva


ENVI


- Specialized in image processing- Supports multiple platforms- Supports multiple data formats- Has many t


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