scispace - formally typeset
M

Monica Wachowicz

Researcher at University of New Brunswick

Publications -  107
Citations -  3730

Monica Wachowicz is an academic researcher from University of New Brunswick. The author has contributed to research in topics: Cloud computing & Analytics. The author has an hindex of 22, co-authored 101 publications receiving 3226 citations. Previous affiliations of Monica Wachowicz include Wageningen University and Research Centre & Complutense University of Madrid.

Papers
More filters
Journal ArticleDOI

Smart cities of the future

TL;DR: The state of the art, explaining the science of smart cities is defined and seven project areas are proposed: Integrated Databases for the Smart City, Sensing, Networking and the Impact of New Social Media, Modelling Network Performance, Mobility and Travel Behaviour, Modelled Urban Land Use, Transport and Economic Interactions, Decision Support as Urban Intelligence, Participatory Governance and Planning Structures for the smart city.
Journal ArticleDOI

Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods

TL;DR: An approach to design of an integrated GVis-KDD environment directed to exploration and discovery in the context of spatiotemporal environmental data, which emphasizes a matching of GVis and KDD meta-operations.
Journal ArticleDOI

Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research

TL;DR: Theoretical and methodological approaches for exploring and analyzing large datasets with spatial and temporal components were presented, discussed and developed at the meeting in Girona, Catalunya which was held on 5 May 2008 one day before AGILE's 11th International Conference on Geographic Information Science.
Journal ArticleDOI

Exploring visitor movement patterns in natural recreational areas.

TL;DR: A novel approach to processing massive amounts of GPS data is presented to aid interpretation and understanding of the aggregated movement of visitors in natural recreational areas and provides insights into visitors’ preferences and their interactions with the environment.