Statistical Thematic Mapping: Practical Approaches and Techniques

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Related lectures (32)

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Thematic Attributes and Classification

Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.

Map Creation and Formatting

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

Cartographic Localization

Explores the challenges of cartographic localization and the evolving landscape of cartographic tools.

Thematic Attributes and Classification

Covers thematic attributes, classification, and data discretization in thematic cartography using QGIS for proportional symbol mapping.

Introduction to QGIS

Covers the basics of QGIS, including project management, data manipulation, and map production.

Cartography: Spatial Language

Delves into the unique position of cartography as a spatial language.

Structuring exploratory spatial data analysis

Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.

Elementary Algebra: Numeric Sets

Explores elementary algebra concepts related to numeric sets and prime numbers, including unique factorization and properties.

Vector-Vector Data Layer Interactions

Covers interactions between vector layers in GIS, including geometric properties, spatial arrangement, autocorrelation, altitude models, and SQL equivalents.