Proceedings of the GIS Research UK 18th Annual Conference GISRUK 2010

This volume holds the papers from the 18th annual GIS Research UK (GISRUK). This year the conference, hosted at University College London (UCL), from Wednesday 14 to Friday 16 April 2010. The conference covered the areas of core geographic information science research as well as applications domains such as crime and health and technological developments in LBS and the geoweb. UCL’s research mission as a global university is based around a series of Grand Challenges that affect us all, and these were accommodated in GISRUK 2010. The overarching theme this year was “Global Challenges”, with specific focus on the following themes: * Crime and Place * Environmental Change * Intelligent Transport * Public Health and Epidemiology * Simulation and Modelling * London as a global city * The geoweb and neo-geography * Open GIS and Volunteered Geographic Information * Human-Computer Interaction and GIS Traditionally, GISRUK has provided a platform for early career researchers as well as those with a significant track record of achievement in the area. As such, the conference provides a welcome blend of innovative thinking and mature reflection. GISRUK is the premier academic GIS conference in the UK and we are keen to maintain its outstanding record of achievement in developing GIS in the UK and beyond

Localizing the media, locating ourselves: a critical comparative analysis of socio-spatial sorting in locative media platforms (Google AND Flickr 2009-2011)

In this thesis I explore media geocoding (i.e., geotagging or georeferencing), the process of inscribing the media with geographic information. A process that enables distinct forms of producing, storing, and distributing information based on location. Historically, geographic information technologies have served a biopolitical function producing knowledge of populations. In their current guise as locative media platforms, these systems build rich databases of places facilitated by user-generated geocoded media. These geoindexes render places, and users of these services, this thesis argues, subject to novel forms of computational modelling and economic capture. Thus, the possibility of tying information, people and objects to location sets the conditions to the emergence of new communicative practices as well as new forms of governmentality (management of populations). This project is an attempt to develop an understanding of the socio-economic forces and media regimes structuring contemporary forms of location-aware communication, by carrying out a comparative analysis of two of the main current location-enabled platforms: Google and Flickr. Drawing from the medium-specific approach to media analysis characteristic of the subfield of Software Studies, together with the methodological apparatus of Cultural Analytics (data mining and visualization methods), the thesis focuses on examining how social space is coded and computed in these systems. In particular, it looks at the databases’ underlying ontologies supporting the platforms' geocoding capabilities and their respective algorithmic logics. In the final analysis the thesis argues that the way social space is translated in the form of POIs (Points of Interest) and business-biased categorizations, as well as the geodemographical ordering underpinning the way it is computed, are pivotal if we were to understand what kind of socio-spatial relations are actualized in these systems, and what modalities of governing urban mobility are enabled

Imagery to the Crowd, MapGive, and the CyberGIS: Open Source Innovation in the Geographic and Humanitarian Domains

The MapGive initiative is a State Department project designed to increase the amount of free and open geographic data in areas either experiencing, or at risk of, a humanitarian emergency. To accomplish this, MapGive seeks to link the cognitive surplus and good will of volunteer mappers who freely contribute their time and effort to map areas at risk, with the purchasing power of the United States Government (USG), who can act as a catalyzing force by making updated high resolution commercial satellite imagery available for volunteer mapping. Leveraging the CyberGIS, a geographic computing infrastructure built from open source software, MapGive publishes updated satellite imagery as web services that can be quickly and easily accessed via the internet, allowing volunteer mappers to trace the imagery to extract visible features like roads and buildings without having to process the imagery themselves. The resulting baseline geographic data, critical to addressing humanitarian data gaps, is stored in the OpenStreetMap (OSM) database, a free, editable geographic database for the world under a license that ensures the data will remain open in perpetuity, ensuring equal access to all. MapGive is built upon a legal, policy, and technological framework developed during the Imagery to the Crowd phase of the project. Philosophically, these projects are grounded in the open source software movement and the application of commons-based peer production models to geographic data. These concepts are reviewed, as is a reconception of Geographic Information Systems (GIS) called GIS 2.0

Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study

Social media data has frequently sourced research on topics such as traveller planning or the factors that influence travel decisions. The literature on the location of tourist activities, however, is scarce. The studies in this line that do exist focus mainly on identifying points of interest and rarely on the urban areas that attract tourists. Specifically, as acknowledged in the literature, tourist attractions produce major imbalances with respect to adjacent urban areas. The present study aims to fill this research gap by addressing a twofold objective. The first was to design a methodology allowing to identify the preferred tourist areas based on concentrations of places and activities. The tourist area was delimited using Instasights heatmaps information and the areas of interest were identified by linking data from the location-based social network Foursquare to TripAdvisor’s database. The second objective was to delimit areas of interest based on users’ existing urban dynamics. The method provides a thorough understanding of functional diversity and the location of a city’s different functions. In this way, it contributes to a better understanding of the spatial distribution imbalances of tourist activities. Tourist areas of interest were revealed via the identification of users’ preferences and experiences. A novel methodology was thus created that can be used in the design of future tourism strategies or, indeed, in urban planning. The city of Bucharest, Romania, was taken as a case study to develop this exploratory research.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research has been partially funded by the Valencian Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana and the European Social Fund (ACIF/2020/173); and by the University of Alicante—Vicerrectorado de Investigación (GRE 21-15)

AXMEDIS 2008

The AXMEDIS International Conference series aims to explore all subjects and topics related to cross-media and digital-media content production, processing, management, standards, representation, sharing, protection and rights management, to address the latest developments and future trends of the technologies and their applications, impacts and exploitation. The AXMEDIS events offer venues for exchanging concepts, requirements, prototypes, research ideas, and findings which could contribute to academic research and also benefit business and industrial communities. In the Internet as well as in the digital era, cross-media production and distribution represent key developments and innovations that are fostered by emergent technologies to ensure better value for money while optimising productivity and market coverage

Collective sensing: integrating geospatial technologies to understand urban systems : an overview

Cities are complex systems composed of numerous interacting components that evolve over multiple spatio-temporal scales. Consequently, no single data source is sufficient to satisfy the information needs required to map, monitor, model, and ultimately understand and manage our interaction within such urban systems. Remote sensing technology provides a key data source for mapping such environments, but is not sufficient for fully understanding them. In this article we provide a condensed urban perspective of critical geospatial technologies and techniques: (i) Remote Sensing; (ii) Geographic Information Systems; (iii) object-based image analysis; and (iv) sensor webs, and recommend a holistic integration of these technologies within the language of open geospatial consortium (OGC) standards in-order to more fully understand urban systems. We then discuss the potential of this integration and conclude that this extends the monitoring and mapping options beyond “hard infrastructure” by addressing “humans as sensors”, mobility and human-environment interactions, and future improvements to quality of life and of social infrastructures.(VLID)218440

Earth Observation Open Science and Innovation

geospatial analytics; social observatory; big earth data; open data; citizen science; open innovation; earth system science; crowdsourced geospatial data; citizen science; science in society; data scienc

Innovative Procedures for Travel Data Collection and Processing

Global Positioning System (GPS) or Smartphone technology has been increasingly used in travel data collection. Although GPS devices can directly record spatial and temporal information, trip ends, travel modes and trip purposes are not recorded. So GPS data processing becomes a critical procedure to produce these results, which can be used in transport planning. It has been proved that GPS records are more reliable than travel diaries; however, the quality of GPS data processing work usually influences the quality of results. Researchers have been engaging in the improvement of GPS data processing for the past decade. Traditionally, data processing for GPS records (from dedicated GPS loggers and Smartphones) includes three steps, namely trip identification, mode detection and purpose imputation. However, the results of mode and purpose detection are entirely based on the result of trip identification. Hence, the total accuracy of a GPS survey would be the product of the accuracy of each step. This thesis focuses on the improvement of travel data quality by improving data collection and processing. In this study, a new procedure is introduced which combines the process of trip identification and mode detection. Some general rules (i.e., a threshold of dwell time and the time interval for recording data) are tested. This research also firstly applies a new technology, a life-logging camera, to travel data collection. Images are used to help to pursue ground truth -- especially recorded trips in which GPS data were missing -- and detect some types of travel modes in order to improve the accuracy of data processing. An automating image processing procedure is proposed and tested in this study. In addition, a concept of “mode-point-chain” is discussed to identify the cases of mode change and modify incorrect mode detection results. For the process of purpose imputation, more travel information is suggested to be used in the process. This thesis also uses tour-based information in trip purpose imputation to improve the results. By using the new procedure, the trip identification accuracy was increased by almost 30 percent, taking the missing trips into account. Since trip identification and mode detection were combined, this increase also benefits mode detection results. With the help of image processing and the new procedure of mode change detection, the accuracy of mode detection increased by 7% regardless of the accuracy increase in trip identification. The new processing method also increased the accuracy of trip purpose imputation by 8%. This improvement can help researchers and planners obtain more accurate data for decision making and planning

The locative imaginary: Classification, context and relevance in location analytics

The location analytics industry has the potential to stimulate critical sociological discussions concerning the credibility of data analytics to enact new spatial classifications and metrics of socio-economic phenomena. Key debates in the sociology of geodemographics are revisited in this article in light of recent developments in algorithmic culture to understand how location analytics impacts the structural contexts of classification and relevance in digital marketing. It situates this within a locative imaginary, where marketers are experimenting with consolidating the epistemes of behavioural targeting, classification and performance evaluation in urban environments through spatial analytics of movement. This opens up future research into the political and cultural economies of relevance in media landscapes and the social shaping of valuable subjects by third-party data brokers and analytics platforms that have become matters of public and regulatory concern