ArcGIS 10.x Course, from Beginner to Advanced

Part 1:

1. INTRODUCTION TO GEOGRAPHIC INFORMATION SYSTEMS

Introduction.
Definition and basic concepts.
Applications and uses of Geographic Information Systems.
Geographic information: vector data models, raster data models and other data models (CAD, TIN, etc.). Main features of each data module, advantages and disadvantages.

Introduction to ArcGIS Desktop: ArcMap, ArCatalog, ArcToolbox, ArcScene and ArcGlobe.
Arcmap interface, extensions and tools. Verification of the correct functioning of the software and assessment.

2. VECTOR DATA MODEL. INFORMATION DISPLAY

Information layers: how to add layers, features and attribute tables.
Tools to examine data: search and queries.
Selection tools: selection per feature, selection by spatial location and capture information.
Symbology layers: simple symbology, by category, by quantity and through graphics.
Other display options: labelling and transparencies. Practical exercises (load layers, types of selection, symbology) and assessment.

3. COORDINATE SYSTEMS, PROJECTIONS AND GEOREFERENCING

Introduction to Coordinate systems and projections.
Definition of Coordinate Systems.
Coordinate system transformation. ED50 or ETRS89 geographic database repro- jection.
Georeferencing of images, layers and CAD files. Practical exercises (define, project, image georeferencing and CAD) and assess- ment.

4. VECTOR DATA MODEL. EDITING AND CREATING INFORMATION

Creation and editing of spatial data.
- Creation of spatial data: Editing tools bar. Digitization techniques.
- Exporting and importing spatial information files from different formats (CAD, DGN, Shp, ASCII, etc.). Create layers from CAD files.
- Modify existing layers.
- Creation of layers from coordinates.
Creation and editing of data in the attribute table:
- Structure of the Attribute table.
- Types of data included in an attribute table.
- Modify information from a table.
- Calculate geometric information (Surface, perimeter, length, etc.).
- Creation of statistics from the table.
- Export tables to Excel and other formats. Creation of reports and graphics. Practical exercises (create layers, digitize, modify attribute tables, add fields, geo- metric calculations, field calculator) and assessment.

5. DATABASE MANAGEMENT

Design of a database.
Joins with Access databases and Excel files. (Table relations).
Spatial joins. Obtain statistics from database information and spatial position of the elements creating the layer. Practical exercises (join database and spatial relations) and assessment.

6. SPATIAL ANALYSIS. MOST COMMON GEOPREOCESSING TOOLS

Extract Toolset (Clip, Split).
Overlay toolset (intersect, union).
Proximity toolset (buffer analysis, Thiessen polygons).
Multi-criteria analysis. Obtaining optimal areas according to several criteria. Practical exercises (spatial analysis) and assessment.

7. MAP PRODUCTION

Adjusting the size and type of sheet.
Inserting cartographic elements: north, scale bar, numeric scale, map legend. Including other elements: images, graphs and tables.
Adding several data frameworks.
Creation and use of templates.
Printing options Creation of a cartographic annex for a Project.


Part 2:

1. RASTER DATA MODELS

Introduction.
Definition and basic concepts.
Purposes and uses.

2. BASIC OPERATIONS WITH RASTER FILES
File conversion:
Extracting information from raster files.
Converting files from vector to raster, and vice versa.
Converting ASCII or html files to raster.
Converting vector files to TIN.
Converting TIN to Raster formats.
Exporting files to KML (Google Earth) and CAD.
Creating Digital Elevation Models from vector data, ASCII and TIN files.

By query.
By mask or entity.

Joining raster files. Practical exercises (convert files, create digital elevation models) and assessment.

3. 2D AND 3D SPATIAL ANALYSIS

Raster files reclassification. Building Boolean layers, adding values to intervals or categories, and data conversion.
Grouping several raster layers. Algebra map, math calculations between raster layers, field statistics.
Data interpolation. Exploring different interpolation tools (IDW, Kriging, Natural neighbor).
Euclidean distances.
Surface: contour, slope calculation, hillshade, orientation and visibility.
Use in hydrology: obtaining a drainage system, flow direction, outlets, and identification of drainage basins or sub-basins.
Volume calculation.
Raster multi-criteria analysis: Basic concept and weighting.
Least-cost routes.

Practical exercises: Interpolation of radiation data, volume calculations, complex multi-criteria analysis and least-cost route calculation.

4. MODEL BUILDER

5. TOPOLOGY

6. NETWORK ANALYST