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Interpreting map usage patterns using geovisual analytics and spatiotemporal clustering

International Journal of Digital Earth 2015年第8期8卷 599-622页

作者： Gavin McArdle Ali Tahir Michela Bertolotto National Center for Geocomputation National University of IrelandMaynoothIreland Institute of Geographical Information Systems School of Civil and Environmental EngineeringNational University of Sciences and TechnologyIslamabadPakistan School of Computer Science and Informatics University College DublinDublinIreland

Extracting meaningful information from the growing quantity of spatial data is a *** issues are particularly evident with spatio-temporal data describing *** data typically corresponds to movement of humans,animals and machines in the physical *** article considers a special form of movement data generated through human–computer interactions with online web *** a user interacts with a web map using a mouse as a pointing tool,invisible trajectories are *** examining the spatial features on the map where the mouse cursor visits,a user’s interests and experience can be *** analyse this valuable information,we have developed a geovisual analysis tool which provides a rich insight into such user *** focus of this paper is on a clustering technique which we apply to mouse trajectories to group trajectories with similar behavioural *** experiments reveal that it is possible to identify experienced and novice users of web mapping environments using an incremental clustering *** results can be used to provide personalised map interfaces to users and provide appropriate interventions for completing spatial tasks.

关键词： geovisual analytics spatio-temporal clustering behavioural clustering map personalisation digital globe

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Application of geovisual analytics to modelling the movements of ruminants in the rural landscape using satellite tracking data

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International Journal of Digital Earth 2015年第7期8卷 579-593页

作者： K.K.Benke F.Sheth K.Betteridge C.J.Pettit J.-P.Aurambouta Department of Environment and Primary Industries–Parkville Centre ParkvilleVICAustralia AgResearch Grasslands Palmerston NorthNew Zealand AURIN Faculty of ArchitectureBuilding and PlanningUniversity of MelbourneParkvilleVICAustralia

geovisual analytics provides a framework for the development of decision support tools for landscape design,analysis and *** important application is modelling the spatial-temporal movements of ruminants and their grazing behaviour using global positioning system(GPS)collar *** study describes the mapping and analysis of spatial distributions of animal waste products(which correlate with farm nitrogen[N]emissions)and also determination of animal feeding preferences(which correlate with animal welfare and production).Segmentation of local regions of animal N emissions provides support in meeting targets for local and international N leaching and greenhouse gas *** agent-based model was used for prescreening in order to gain insights into the clustering behaviour of sheep during feeding *** spatial analysis demonstrated that livestock excreta are not always randomly located,but concentrated around highly localised animal gathering points,separated by the nature of the *** a separate study,the statistical significance of feeding choices was determined by testing a null hypothesis on animal boundary transitions between adjacent pastures using the binomial *** analysis also included compensation for the precision of the GPS sensor,which produced a fuzzy decision boundary.

关键词： agent-based modelling geovisual analytics nitrogen emissions feeding preferences ruminants satellite tracking

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An IEEE value loop of human-technology collaboration in geospatial information science

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Geo-Spatial Information Science 2020年第1期23卷 61-67页

作者： Liqiu Meng Chair of Cartography Technical University of MunichMunichGermany

Geosensing and social sensing as two digitalization mainstreams in big data era are increasingly converging toward an integrated system for the creation of semantically enriched digital *** with the rapid developments of AI technologies,this convergence has inevitably brought about a number of *** the one hand,value-adding chains from raw data to products and services are becoming value-adding loops composed of four successive stages–Informing,Enabling,Engaging and Empowering(IEEE).Each stage is a dynamic loop for *** the other hand,the“human versus technology”relationship is upgraded toward a game-changing“human and technology”*** information loop is essentially shaped by the omnipresent reciprocity between humans and technologies as equal partners,co-learners and co-creators of new *** paper gives an analytical review on the mutually changing roles and responsibilities of humans and technologies in the individual stages of the IEEE loop,with the aim to promote a holistic understanding of the state of the art of geospatial information ***,the author elicits a number of challenges facing the interwoven human-technology *** transformation to a growth mind-set may take time to realize and *** works on large-scale semantic data integration are just in the *** experiences of geovisual analytic approaches are far from being systematically ***,the ethical concerns for the handling of semantically enriched digital Earth cover not only the sensitive issues related to privacy violation,copyright infringement,abuse,*** also the questions of how to make technologies as controllable and understandable as possible for humans and how to keep the technological ethos within its constructive sphere of societal influence.

关键词： Geosensing social sensing geovisual analytics semantic web embodied cognition ethics uncertainty

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Geo-Coordinated Parallel Coordinates (GCPC): Field trial studies of environmental data analysis

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Visual Informatics 2018年第2期2卷 111-124页

作者： Maha El Meseery Orland Hoeber University of Regina Canada

The large number of environmental problems faced by society in recent years has driven researchers to collect and study massive amounts of data in order to understand the complex relations that exist between people and the environment in which we *** datasets are often high dimensional and heterogeneous in nature,with complex geospatial *** such data can be challenging,especially when there is a need to maintain spatial awareness as the non-spatial attributes are ***-Coordinated Parallel Coordinates(GCPC)is a geovisual analytics approach designed to support exploration and analysis within complex geospatial environmental *** coordinates are tightly coupled with a geospatial representation and an investigative scatterplot,all of which can be used to show,reorganize,filter,and highlight the high dimensional,heterogeneous,and geospatial aspects of the *** sets of field trials were conducted with expert data analysts to validate the real-world benefits of the approach for studying environmental *** results of these evaluations were positive,providing real-world evidence and new insights regarding the value of using GCPC to explore among environmental datasets when there is a need to remain aware of the geospatial aspects of the data as the non-spatial elements are studied.

关键词： geovisual analytics Heterogeneous data visualization High dimensional data visualization Field trial evaluations

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