Sector-specific

Spatial Data for Urban Projects

Architecture, construction and urban planning 40 hours

Introduction

In the era of smart cities, spatial data has become an essential tool for urban planning and management. The ‘Spatial Data for Urban Projects’ course offers you the opportunity to immerse yourself in the world of spatial data management, learning how to use key indicators when drafting innovative projects. With growing demand for skilled workers in the urban sector, developing skills in managing spatial data infrastructures is a strategic investment in your professional future. This course will provide you with the tools you need for data analysis, visualisation and communication, enabling you to stand out in a competitive environment. Current technological trends demand professionals who are equipped to tackle the urban challenges of tomorrow. Taking part in this course is your gateway to a world full of opportunities and digital transformation in the urban environment.

Objectives

- To understand spatial data so that it can be applied to urban smart city projects.

- Identify key indicators for the management of efficient urban projects.

- Explore spatial data infrastructures to optimise urban projects.

- Analyse spatial data sources relevant to smart cities.

- Use analytical tools to improve the visualisation of urban data.

- Effectively communicate the results of data analysis in urban projects.

- Keep up to date with trends in spatial data applied to urban environments.

Table of Contents

TEACHING UNIT 1. SPATIAL DATA AND INDICATORS FOR THE MANAGEMENT AND DRAFTING OF PROJECTS IN SMART CITIES
Smart Cities and spatial data
Population and demographic indicators
Socio-economic indicators
Indicators for housing, land and public facilities
Best practice for urban projects

TEACHING UNIT 2. SPATIAL DATA INFRASTRUCTURE AND DATA SOURCES FOR SMART CITY PROJECTS
Spatial data infrastructures
IDE, land registers and geoportals
Third-party data sources
Sources of cartographic data
Thematic maps for urban projects

TEACHING UNIT 3. TOOLS FOR DATA ANALYSIS, VISUALISATION AND COMMUNICATION FOR PROJECTS
Advanced thematic maps
Not just maps, but also charts
Interactive visualisation tools
Satellite images
Fieldwork and the collection of our own data

TEACHING UNIT 4. TRENDS
Sources of information on trends
Digital twins and the integration of GIS and BIM
Social media and mobile networks
Big Data and Small Data, sensors and the Internet of Things (IoT)
Artificial Intelligence (AI) in the geospatial field

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