One of the key features that distinguishes sensor networks from other networked applications is that their focus is generally not the sensors per se, but space-filling phenomena of the environment through which the sensors are deployed. Following the ...

As geo-sensor webs have not grown as quickly as expected, new, alternative data sources have to be found for near real-time analysis in areas like emergency management, environmental monitoring, public health, or urban planning. This paper assesses the ...

Today's observation streams of large numbers of geographically distributed sensors in geosensor networks arrive continuously at powerful servers, and users are interested in analyzing the sensor data streams in real-time. This article investigates ...

Over recent years considerable research effort has focused on developing decentralized algorithms for highly distributed computing environments, such as wireless geosensor networks. There are several putative advantages of decentralization, including ...

We provide an overview of our practical experience with developing a distributed sensor network to monitor soil response to climate change and increase our understanding of the complex interactions of the surrounding ecological, biogeochemical and ...

The ACM SIGSPATIAL Ph.D. Symposium is a forum where Ph.D. students present, discuss, and receive feedback on their research in a constructive atmosphere. The symposium will be attended by professors, researchers and practitioners in the ACM SIGSPATIAL ...

The ACM SIGSPATIAL International Workshop on Geostreaming (IWGS) was held for the fifth time in conjunction with the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACMGIS 2014). The workshop has been a ...

ACM SIGSPATIAL workshop on Location Based Social Networks 2014 (http://faculty.ce.berkeley.edu/pozdnukhov/lbsn14/index.html) was held in conjunction with the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (...

In order to promote ACM SIGSPATIAL and corresponding research area in China, and encourage collaboration between SIGSPATIAL researchers in China and researchers worldwide, ACM SIGSPATIAL China chapter was established in October 2009, with the strong ...

We present an application where semantically enriched trajectories obtained from crowdsensed data are used to build an advanced system for planning personalized sightseeing tours, called TripBuilder. The interesting feature of TripBuilder is that it ...

Describing the location history of moving objects exclusively in geometric terms is no longer sufficient, whereas more expressive data models capturing the complexity and heterogeneity of movement data are needed. Following this trend, the data model of ...

Storing, querying, and analyzing trajectories is becoming increasingly important, as the availability and volumes of trajectory data increases. One important class of trajectory analysis is computing trajectory similarity. This paper introduces and ...

Nowadays, the tracking, representation and analysis of moving objects and trajectories have attracted several research efforts at the formal level. The work presented in this paper introduces a spatial qualitative approach for enriching semantic ...

Annually organized VAST Challenges provide a unique opportunity to analyze complex data with available ground truth. In 2014, one of the tasks was to interpret routine and anomalous patterns of human mobility based on big data: trajectories of cars and ...

The domain of trajectory data management and mining undoubtedly contributes with interesting research problems and corresponding effective solutions to what is called data science. An interesting trend that poses new challenges in the field and has ...

The widespread use of sensors and information systems, frequently via mobile devices, allows gathering large amounts of movement data, such as trajectories of moving objects and sequences of users posts on social media. These data can enable several ...

This position paper reviews the achievements and open challenges of movement analysis within Geographical Information Science. The paper argues that the simple problems of movement analysis have mostly been addressed to a sufficient level ("the low ...

Nowadays, the digital traces of moving objects, such as people, animals, goods, increasingly contain richer information than the mere location history. Traces can report, for example, the places visited by tourists during a touristic journey (e.g., ...