Geomatics Elements: Practical Examples

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Related lectures (32)

Components and Functions of Maps

Covers thematic cartography, visual variables, map production, and interactive mapping.

The third dimension: Representing Relief MOOC: Geographical Information Systems 2

Explores representing relief in GIS through 3D models and the Qgis2threejs plugin.

Map Components and Functions

Covers the concept of cartography, thematic maps, and map components.

Representation - Acquisition - Management MOOC: Elements of Geomatics

Covers the representation, acquisition, and management of geospatial data.

Digital Elevation Models: Basic Elements MOOC: Geographical Information Systems 2

Covers digital elevation models, altitude acquisition methods, representation techniques, and relief visualization using shading and contour lines.

Geomatics Fundamentals

Covers the basics of geomatics, from cartography history to terrain modeling.

Digital Elevation Models: Basic Concepts MOOC: Geographical Information Systems 2

Covers methods for sampling elevation and measuring elevation using leveling, photogrammetry, and LiDAR in Geographic Information Systems.

Discrete Variables, Geometric Properties MOOC: Geographical Information Systems 2

Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.

Altitude Models and Derived Variables MOOC: Geographical Information Systems 2

Covers geographic information systems, digital elevation models, derived variables, visibility analysis, shadow casting, solar radiation, drainage lines, and flood zones.

Analysis of Geographic Information: GeoDa MOOC: Geographical Information Systems 2

Covers the main functions of the GeoDa software for exploratory analysis.

Components and Functions of the Map MOOC: Geographical Information Systems 2

Covers the components and functions of thematic mapping, including visual variables, map production, and interactive mapping.

Thematic attributes and classification MOOC: Geographical Information Systems 2

Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.

Altitude Models and Derivative Variables MOOC: Geographical Information Systems 2

Covers geographic information systems, relief indicators, and digital elevation models.

Discrete variables: Geometric properties MOOC: Geographical Information Systems 2

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Spatial Phenomena: Isovalues

Covers isovalue curves in geographic information systems and their creation using QGIS.

Derived Variables: Digital Elevation Models MOOC: Geographical Information Systems 2

Covers the calculation of slope, aspect, and curvature from elevation models.

Derived Variables 2: Applications and Analysis MOOC: Geographical Information Systems 2

Covers thematic variables derived from DEMs and their applications in GIS.

Discrete Variables: Spatial Arrangement and Neighbourhood MOOC: Geographical Information Systems 2

Covers geometric properties, spatial arrangement, autocorrelation, and neighbourhood analysis in geographic information systems.

Map Creation and Formatting MOOC: Geographical Information Systems 2

Covers the creation and formatting of maps, focusing on essential elements and the role of map layout.

Geographic Information Systems: Data Acquisition and Representation MOOC: A Resilient Future: Science and Technology for Disaster Risk Reduction

Explores Geographic Information Systems, covering data acquisition, representation, and visualization of geodata.

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