Urban / Territorial Data Science

Explore the field of urban and territorial data science with our recommended books. These works cover GIS, geospatial analysis, and the latest methodologies for urban planning and management. By delving into these resources, readers will gain valuable insights into the complex data-driven approaches used to enhance urban environments and territorial management.

1. Territorial Data Science

Territorial data science focuses on the analysis and application of data to understand and manage geographical areas. This field integrates various data sources and analytical techniques to address spatial challenges and inform territorial planning and policy-making.

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1.1 Je prends mon poste de DPO data protection officer by Fabrice Anguenot, Joël Clérembaux, and Laurent Charreyron

Je prends mon poste de DPO data protection officer is a practical guide for newly appointed Data Protection Officers (DPOs) in local governments. This book provides essential strategies and priorities for managing personal data in compliance with GDPR regulations. It helps DPOs navigate the challenges of implementing data protection policies and fosters an organizational culture of privacy.

1.2 Open data et collectivités territoriales: Réussir sa démarche Data by Magali Barnoin, Vincent Kober, Antoine Petel, and Frédérick Petit

Open data et collectivités territoriales: Réussir sa démarche Data discusses the impact of digital data on public and private sector interactions. The book highlights the opportunities and challenges posed by open data initiatives in local governments, offering practical advice for successful data management and ethical data usage.

1.3 GIS Open Source per geologia e ambiente – Analisi e gestione di dati territoriali e ambientali con QGIS – II EDIZIONE by Valerio Noti

GIS Open Source per geologia e ambiente is an operational manual for GIS professionals, researchers, and students. The book covers the latest features of QGIS and introduces key topics like multispectral image analysis, coastal erosion monitoring, and geostatistical analysis using R. It is a practical resource for those working with geospatial data in geology and environmental science.

1.4 Datos sobre la división territorial del fondo forestal ruso: Tecnología de geoinformación de actualización by Edward Alexander Giraldo Marin

Datos sobre la división territorial del fondo forestal ruso examines geoinformation technologies for updating territorial data in Russian forestry management. The book includes an analysis of current data practices and describes the development of geoinformation technology for managing forest boundaries within the ISDM-Rosleskhoz system.

1.5 Modelo de BI para el análisis de los POSPR desarrollados por la ANT: Apoyo a la toma de decisiones para los Planes de Ordenamiento Social de la Propiedad Rural by Edward Alexander Giraldo Marin

Modelo de BI para el análisis de los POSPR desarrollados por la ANT explores the application of Business Intelligence (BI) for decision-making in rural property planning by the National Land Agency. The book emphasizes the importance of accurate information management and BI tools in supporting strategic decisions and reducing uncertainty in land management.

2. Urban Data Science

Urban data science involves the collection, analysis, and interpretation of data related to urban environments. This field uses advanced analytical methods to address urban challenges, improve city planning, and enhance the quality of life in urban areas.

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2.1 The Importance of High-Resolution Rainfall Data for Urban Hydrology by Nain

The Importance of High-Resolution Rainfall Data for Urban Hydrology examines the critical role of detailed precipitation data in urban water management. The book discusses how high-resolution rainfall data can improve stormwater management, flood risk assessment, and the design of sustainable urban infrastructure.

2.2 Geospatial Data Analytics and Urban Applications by Sandeep Narayan Kundu

Geospatial Data Analytics and Urban Applications highlights advanced applications of geospatial data analytics in addressing urban challenges. This book showcases various case studies where spatial data and machine learning algorithms are used to solve real-world urban problems, making it a valuable resource for researchers and practitioners in urban data science.

 

For a more extensive list of recommended books on urban and territorial data science, please refer to the tables above.

Whether you are a student, researcher, urban planner, or data scientist, these books offer valuable insights and practical knowledge to enhance your understanding of urban and territorial data science. By exploring these resources, you will be better equipped to contribute to the development and implementation of innovative solutions for urban and territorial management.