Lecture

Map functions and components

Related lectures (21)

Covers thematic maps' components, functions, and creation process in geographic information systems.

Covers the representation of JSON data using case classes in Scala.

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

Map Components and Functions

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

Data Operations and Parallel Mapping

Explores parallel programming in Scala, functional operations on collections, and parallel map functions on arrays and trees.

Visual Variables in Cartography

Covers visual variables in cartography, including interactions, laws of visual perception, and color coding.

Overview of the Allen Brain Observatory

Covers the Allen Brain Observatory, a survey of physiological activity in the mouse visual cortex, focusing on visually evoked calcium responses and cellular tuning properties.

Thermodynamic formalism for coarse expanding dynamical systems

Explores thermodynamic formalism for weakly coarse expanding dynamical systems, covering equilibrium states, visual metrics, and symbolic coding.

Visual maps in the mouse cortex

Explores visual maps in the mouse cortex, mesoscale mapping methods, and anatomical and functional border mismatch.

Thematic attributes and classification

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

Data from the mouse primary visual cortex

Explores data from the mouse primary visual cortex, focusing on visual information encoding, transformation, diversity of responses, and locomotion modulation.

Visual Variables

Introduces visual variables in thematic maps and the semiology of graphics.

Statistical Thematic Mapping: Practical Approaches and Techniques

Covers the practical aspects of creating statistical thematic maps and the necessary concepts for effective data representation.

Visual Variables in Cartography

Introduces visual variables in cartography, emphasizing simplicity and color perception for effective map design.

Homology of Riemann Surfaces

Explores the homology of Riemann surfaces, including singular homology and the standard n-simplex.

Mapping Functions and Surjections

Explores mapping functions, surjections, injective and surjective functions, and bijective functions.

Human-Computer Interaction: Synthesis

Covers visual perception, cognition, usability testing, human-robot interaction, design principles, and more.

Reading Cartographic Images

Delves into the process of reading cartographic images and the impact of visual effects on map interpretation.

Human-Computer Interaction: Synthesis

Explores the relevance of styles in human-computer interaction, visual perception, cognition, usability testing, games, data visualization, accessibility, extended reality, and more.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.