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Geographic Information Systems Advanced
Overview
GIS is an expanding and evolving technology that has become an essential tool in government and business. The use of GIS continues to increase across business, industry, academic, and government sectors. Today, this powerful technology is used in all world fields. Advertising, Pipeline, Agriculture, Banking, Energy, Health, Local government, Oil and Gas, Military, Tourism, Utilities and more.
Objectives
The primary purpose of this course is to extend the knowledge and skills in GIS. It emphasizes on a number of advanced GIS methods and concepts needed to use GIS correctly and effectively for manipulating, querying, analyzing, and visualizing spatial-based data. It also develops proficiency in GIS usage for more clearly understanding properties, processes and analyzing spatial data, and for generating cartographic output from the analysis. Hands-on live demonstrations using ESRI ArcGIS 9.1 software.
Audience
This course for who needs to have in-depth coverage of the analytical ability of GIS such as spatial analysis, Geo-database, modeling various analyses, mapping and others.
Perquisites
This is an advanced level course in Geographic Information Systems (GIS). It will build on the techniques learned in the Introduction to Geographic Information Systems course.
Contents
Review Main principle GIS components and
functions; concepts of GIS basics and definitions, different spatial data
formats and map elements.
Creating quantitative map displays; apply
different classification methods.
Create Custom Symbols; group together existing
symbols and draw your own.
Map labels and annotations; labeling options,
features placement, labeling visibility, coding labels and annotation
creating and storing.
Geocoding data; linking address to a geographic
locations and create your service.
Introduction to GIS database design procedures;
needs assessment, conceptual design, physical design, automation plan, pilot
project and implementation phase.
Database organizations; naming conventions,
documentation, creating and using metadata.
Spatial referencing; Introducing map projections
and coordinate systems.
Implement your GIS Database design; schema,
tables, layers, and relationships.
Data automation; digitize a Georeferenced
satellite image, data migration, Data loader, import and export data.
Data Conversion and handles of different spatial
data types; Shape file, Cad files, Coverage and Geodatbase.
Editing Maps; edit spatial and attribute data
using advanced editing tools.
Maps aggregations and generalizations;
dissolving, Clipping, and Merging
Spatial analysis function; Proximity and
overlaying analysis and Geoprocessing.
Multi-criteria analysis; spatial and tabular
queries and selection techniques.
Present different GIS applications Case studies
in both local and enterprise scoping.