Lecture

Metadata: General Principles and Standards

Related lectures (32)

Metadata: Introduction to Geographic Information Systems

Covers the importance of metadata in geoinformation and international standards like ISO/TC 211 and the INSPIRE directive.

Metadata: Importance and Standardization

Highlights the importance of metadata in describing datasets for geographic information systems.

Neuroscience Data Analysis

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

In Silico Neuroscience: Data Reproducibility and Reusability

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Digital Urban History: QGIS Practical Session

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Metadata: Importance in GIS

Highlights the importance of metadata in GIS datasets and national data infrastructures.

Acquisition de données primaires: Positioning and Thematic Data

Covers primary data acquisition methods in GIS, including positioning and thematic data techniques.

Geographic Information Storage

Covers geographic information storage challenges, data types, methods, and formats, emphasizing structured data and centralizing data access.

Thematic Attributes and Classification

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

Geographic Information Systems: Urban Morphology and Modeling

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.

Thematic attributes and classification

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

Visual Variables

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

Storage of geographic information

Covers the storage of geographic information using vector and grid formats, coordinate reference systems, and image formats.

Vector mode and image mode

Covers observation units in GIS, focusing on vector and image modes.

Vector-Vector Integration: Methods and Tools

Explores methods and tools for integrating vector layers in QGIS, including SQL queries and boolean operators.

Introduction to Neuroinformatics

Covers the heterogeneous neuroscience data, techniques like microarrays and gene sequencing, data integration, and the importance of metadata in organizing and sharing data.

SQL: Data Manipulation and Views

Covers SQL data manipulation language, including DDL and DML commands.

Case Study: Flood Risk in Niamey

Delves into the spatial evaluation of flood risk in Niamey, covering challenges, impacts, and risk management measures.

Spatial Phenomena: Interpolation 2

Explores geostatistics, variograms, kriging, and spatial interpolation techniques in geographical information analysis.