Open access peer-reviewed Edited Volume

GIS and Spatial Analysis

Jorge Rocha

University of Lisbon

Assistant Professor of the Institute of Geography and Spatial Planning and a member of the Modelling, Urban and Regional Planning, and Environmental Hazard and Risk Assessment and Management research groups of the Centre of Geographical Studies, University of Lisbon. Dr. Rocha is specialized in Geosimulation and Geocomputation and is a coordinator of Geomodlab - Spatial Analysis, Modelling, and Simulation Lab.


Eduardo Gomes

University of Lisbon

Researcher at the Centre for Geographical Studies (University of Lisbon) who received awards, such as the Portuguese National Geography Award for the best Ph.D. thesis, Best Scientific Article Award in Human Geography, and outstanding contribution in reviewing for scientific journals. His expertise is in geographic information systems, land-use modeling, collaborative simulation, and spatial planning.

Inês Boavida-Portugal

University of Lisbon

Dr. Inês Boavida-Portugal is an Assistant Professor at the Institute of Geography and Spatial Planning(University of Lisbon, Portugal) with expertise in geosimulation models to explore spatial phenomena that induce changes in society.

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Cláudia Viana

University of Lisbon

Researcher at the Institute of Social Sciences (ULisboa) and Faculty of Architecture (ULisboa), working on food security issues with a focus on spatiotemporal modeling using machine learning algorithms.


Pattern Analysis Scale and Zoning Spatial Econometrics Geostatistics Modelling Simulation Spatiotemporal Processes Artificial Intelligence Cellular Automata GIS Programming Data Mining Data Science

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About the book

The objective of Spatial Analysis techniques is to describe the patterns existing in spatial data and to establish, preferably quantitatively, the relationships between different geographic variables. The notion of spatial analysis in a GIS environment encompasses the idea of integrating spatial data and alphanumeric attributes and translates into a series of functions related to selection and data search, on the one hand, and with modeling, on the other. There have been substantial advances in spatial analysis techniques in GIS, mainly in the form of more faithfully apprehending the relationships inherent to the geographic phenomenon, something that, as has been proved not to be possible to do with non-spatial techniques. Nowadays, spatial analysis involves a set of techniques used to analyse and model variables with distribution in space and/or time.

The new – actual - era of spatial analysis must also consider the possibilities of integrating artificial intelligence in simulation (Geosimulation) processes in computerised environments (Geocomputation) in close relationship with models developed in real situations. GIS has emerged as useful tools in geographic modeling processes allowing to answer questions about the time variability of the landscape structure to study the behaviour of fire, to predict areas of urban expansion, analyse propagation phenomena, model animal movement, and behaviour, determine periods and areas of high risk of flooding, among other phenomena. "GIS and Spatial Analysis" is a critical book that aims to provide different methodologies that combine the potential data (including Big Data) analysis with GIS applications. It intends to give the readers a comprehensive overview of the current state-of-the-art methods of spatial analysis, focusing both on the new philosophical and theoretical foundations for spatial analysis and on a flexible framework for analysis in the real world, for problems such as complexity and uncertainty.

Publishing process

Book initiated and editor appointed

Date completed: March 16th 2022

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: June 12th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: August 31st 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: October 30th 2022

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Jorge Rocha

University of Lisbon

Jorge Rocha achieved his MSc in Geographic Information Systems (2003) and in Spatial Planning (2013), and PhD in Geographic Information Science (2012). He is currently an Assistant Professor of the Institute of Geography and Spatial Planning and a member of the Modelling, Urban and Regional Planning, and Environmental Hazard and Risk Assessment and Management research groups of the Centre of Geographical Studies, University of Lisbon. . His field of expertise is geosimulation and geocomputation involving artificial neural networks, graphs theory, cellular automata, and multi-agent systems. Jorge’s works are quite diverse, focusing mainly on, but not only, in urban morphology, remote sensing, epidemiology, health geography, geomarketing, tourism, smart cities and big data.

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Book chapters authored 5

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