Esri ArcGIS Desktop Professional Certification Study Guide. Mike Flanagan
Чтение книги онлайн.

Читать онлайн книгу Esri ArcGIS Desktop Professional Certification Study Guide - Mike Flanagan страница 7

Название: Esri ArcGIS Desktop Professional Certification Study Guide

Автор: Mike Flanagan

Издательство: Ingram

Жанр: Программы

Серия:

isbn: 9781589485365

isbn:

СКАЧАТЬ Esri imagery and raster terms

       Help > Data > Data types > Imagery and raster > Image management >Mosaic datasetsRaster products and raster types

       Help > Data > Data types > Imagery and raster > Multidimensional >An overview of multidimensional raster dataAn overview of multidimensional data in a mosaic dataset

        Help > Data > Data types > Imagery and raster > Workflows > Create a mosaic dataset

       Tool Reference > Tools > Data Management toolbox > Raster toolset > Mosaic Dataset toolset >Add Rasters To Mosaic DatasetCreate Mosaic DatasetCreate Referenced Mosaic Dataset

      Gain a thorough understanding of these ArcMap Help topics:

        Manage data > Data types > Raster and images > Introduction > Essential raster data vocabulary

        Manage data > Data types > Raster and images > Fundamentals of raster data > Raster data organization

        Manage data > Data types > Raster and images > Building and managing a raster database > Mosaic datasets > What is a mosaic dataset?

        Manage data > Data types > Raster and images > Supported raster data > Multidimensional raster types

        Manage data > Data types > Raster and images > Building and managing a raster database > Mosaic datasets > Using specific raster types > Multidimensional data in a mosaic dataset

       Tools > Tool reference > Data Management toolbox > Raster toolset > Mosaic Dataset toolset >Add Rasters To Mosaic DatasetCreate Mosaic DatasetCreate Referenced Mosaic Dataset

        Manage data > Data types > Raster and images > Displaying raster data > Working with the mosaic dataset layer > Changing the mosaic method when viewing the mosaic dataset

      Practice

      Take these web courses to get more hands-on experience:

        Managing Raster Data Using ArcGIS

        Managing Lidar Data Using Mosaic Datasets

        Working with NetCDF Data in ArcGIS Pro

      Skills check-in

      Now that you have explored these concepts, it is time to check in! This is not an exhaustive list of topics that are covered on the exam, but it references the types of tasks a qualified candidate should be able to perform. If there is anything you cannot confidently do, review those concepts until you can.

      I can:

       Identify data formats for surfaces, or multispectral applications, simple feature, multidimension, LAS data, external formats (CAD).

       Compare a variety of geodatabase or external storage types (for example, elevation raster, LAS datasets, terrain datasets).

       Create a mosaic dataset from raster data or LAS data.

       Create derived raster products.

       Create and maintain attachments.

      ArcGIS supports the creation of complex datasets that can be used to perform network analysis on both transportation and utility networks. Networks can be used to help plan routes for a delivery fleet or to calculate vehicle drive times while including impedance factors such as street direction and traffic volume. This section describes two ways to use networks in ArcGIS. This skill consists of two parts: (1) network datasets and (2) geometric networks.

      Network datasets

      Network datasets are used to model networks that allow bidirectional travel or facilitate travel by agents who can make decisions about how to travel across the network (such as a delivery driver in a transportation network). After a transportation network has been modeled, it can be used to optimize route planning and streamline business processes. For example, a parcel shipping company might use a network dataset and tools in the ArcGIS Network Analyst extension to calculate the least-cost path (where least-cost is defined as shortest travel time) from a warehouse to a customer’s home.

      Network datasets are made up of point and line features, known as network elements, that define the physical characteristics of the network. The topological relationships of these features are enforced by logic that is built in to the network dataset. These network elements establish connectivity and control navigation over the network. When you create a network dataset, you identify line and point features that will create your network’s basic structure as edges and junctions. Network datasets may also include turns, which are used to model restrictions in the network. The elements are then used to model and describe connectivity. Connectivity tells the network how your edges and junctions are formed and describes which network sources interconnect. In a network dataset, the connectivity model is discovered on demand and is СКАЧАТЬ