Advisory Board and Editors Spatial & Geographic Information Systems
Feng Gu
Feng Gu is currently an associate professor of computer science at College of Staten Island, The City University of New York, and the doctoral faculty member of Graduate Center of The City University of New York. He is the recipient of Natural Science Foundation Research Initiation Award. His research interests include modeling and simulation, complex systems, high performance computing, and bioinformatics.
Robert J Hijmans
Robert Hijmans is a professor in the Department of Environmental Science and Policy at the University of California, Davis. Prior to joining UC Davis, he held positions at the International Potato Center (Peru), the International Rice Research Institute (Philippines) and at the UC Berkeley Museum of Vertebrate Zoology. His research focuses on spatial data analysis in biodiversity, agriculture, and health, and he has developed widely used software and databases to support such work. He has a PhD in Production Ecology from Wageningen University (Netherlands).
Carl P. Lipo
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Brendan P Malone
My research focus is in using quantitative methods to precisely understand how soils function and change- spatially, and through time.
I research methods for comprehensive digital soil mapping aiming to characterize soil both in the lateral and vertical dimensions.
I research methods for quantifying (and validating) measures of uncertainty for these comprehensive soil information systems.
I investigate innovative systems for soil measurement, which includes that associated with remote and proximal and soil sensing instrumentation. I have particular interest in infrared and x-ray spectroscopy.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Petteri Muukkonen
Dr. Petteri Muukkonen is a senior lecturer in geoinformatics. He is a geographer, and specifically owns a strong background in biogeography and in geoinformatics. He has mainly studied various biogeography and forestry themes in the boreal forest environment. For example, Dr. Muukkonen has studied carbon sequestration and carbon cycle, biomass surveys and monitoring, spatial autocorrelation of soil characteristics, landscape fragmentation, habitat changes and remote sensing of forest landscape. Geoinformatics (GIS and remote sensing) has been present in some way in all of his research topics.
Agricola Odoi
Agricola Odoi, BVM, MSc, PhD, FAHA, FACE, Dipl. AVES (Hon) is a Professor of Epidemiology with specific interests and expertise in geographic and quantitative epidemiology. He earned his veterinary degree from Makerere University (Uganda), MSc in Epidemiology and Animal Health Economics from University of Nairobi (Kenya) and PhD in Epidemiology from University of Guelph (Canada).
Dr. Odoi’s research involves use of Geographical Information Systems (GIS) and Spatial Epidemiology to investigate health disparities and the impact of place on health outcomes and access to health services. He has used these approaches in the investigation of vector-borne, water-borne and chronic diseases. His investigations have focused on identifying the influence of place of residence on health so as to provide information to guide health planning and policy decisions.
He has been actively involved in research on the epidemiology of prediabetes, diabetes, heart disease and stroke. Using GIS and spatial epidemiologic tools, Dr. Odoi has also been involved in research investigating vector distribution, habitat preference and predictors of geographic distribution of vectors and hence risk of a number of vector-borne diseases. As a result of his significant research contributions he was inducted a Fellow of the American Heart Association (FAHA), Fellow of the American College of Epidemiology (FACE) and received an Honorary Diplomate of the American Veterinary Epidemiology Society (Dipl. AVES).
Gabriella Pasi
Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.
Mauro Rossi
Mauro Rossi is an expert on mapping, modeling and forecasting of landslides, floods and erosion processes in different geo-environmental and anthropic contexts. He has developed (i) new methodologies for statistical and deterministic analysis of the susceptibility and hazard posed by different geo-hydrological phenomena and for the estimation of their impacts, (ii) new statistical approaches to the definition of rainfall thresholds for triggering Landslides, (iii) early warning systems, (iv) approaches to the design optimal models for estimating landslide susceptibility and for the assessment of social risk posed by landslides and floods. He has also developed specific softwares for the landslide susceptibility modelling, for the landslide magnitude modelling and for the joint modeling of landslides and erosion processes in relation to different scenarios of geomorphological, climatic, vegetational and anthropic changes, in order to adequately characterize the hillslopes and the hydrological basins dynamics.
Arnold R. Salvacion
Arnold is a Research Fellow at Centre for Crop and Disease Management, Curtin University. He is an environmental scientist with more than 15 years of research experience in agriculture, natural resource, applied climate science, human ecology, quantitative geography, and geographic information system. In 2021, he was awarded as one of the Outstanding Young Scientists by the National Academy of Science and Technology (Philippines) for his contribution to the advancement of human ecological research in the country. He is the founding Editor-in-Chief of the Journal of Human Ecology and Sustainability and also serves on the Editorial Board of Spatial Information Research, and SN Social Sciences.
Rossano Schifanella
Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.
Stefan Steiniger
Stefan Steiniger is a Professor at the School of Construction and Transport Engineering at Pontificia Universidad Catolica de Valparaiso, Chile, and in charge of the spatial data infrastructure/observatory of the Chilean Centre for Urban Sustainable Development (CEDEUS). With a background in automated geo-visualization, spatial data analysis, geodesy and geo-information technologies in general he has a wide interest in developing free & open source GIS tools and their applications in diverse fields including cartography, wildlife ecology, landscape ecology, urban planning, and transportation. His latest research focuses on (i) developing web platforms for urban accessibility analysis - such as CiudadCaminable.com and Walkability.App, (ii) processes and tools for the calculation (Python and R), visualisation (Dashboards) and management of sustainable city indicators and their data, as well as (iii) the development of scenario modelling tools for urban planning.