Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Big data (4)
- OSM (3)
- Spatial information (3)
- Uncertainty (3)
- Data quality (2)
-
- Data science (2)
- Deep learning (2)
- GIS (2)
- Landmarks (2)
- Mobility (2)
- Movement analytics (2)
- Navigation (2)
- OpenStreetMap (2)
- Place (2)
- Semantics (2)
- Spatial big data (2)
- Spatial cognition (2)
- Sustainable mobility (2)
- Wayfinding (2)
- Accuracy (1)
- Affordance (1)
- Affordances (1)
- Agriculture (1)
- Algorithm (1)
- Analytical reasoning (1)
- Animal movement ecology (1)
- Appreciation (1)
- Artificial intelligence (1)
- Aspect-based sentiment analysis (1)
- Behavior change (1)
Articles 31 - 43 of 43
Full-Text Articles in Social and Behavioral Sciences
On The Semantics Of Big Earth Observation Data For Land Classification, Gilberto Camara
On The Semantics Of Big Earth Observation Data For Land Classification, Gilberto Camara
Journal of Spatial Information Science
This paper discusses the challenges of using big Earth observation data for land classification. The approach taken is to consider pure data-driven methods to be insufficient to represent continuous change. I argue for sound theories when working with big data. After revising existing classification schemes such as FAO's Land Cover Classification System (LCCS), I conclude that LCCS and similar proposals cannot capture the complexity of landscape dynamics. I then investigate concepts that are being used for analyzing satellite image time series; I show these concepts to be instances of events. Therefore, for continuous monitoring of land change, event recognition needs …
Data-Driven Agriculture For Rural Smallholdings, Kerry Taylor, Martin Amidy
Data-Driven Agriculture For Rural Smallholdings, Kerry Taylor, Martin Amidy
Journal of Spatial Information Science
Spatial information science has a critical role to play in meeting the major challenges facing society in the coming decades, including feeding a population of 10 billion by 2050, addressing environmental degradation, and acting on climate change. Agriculture and agri-food value-chains, dependent on spatial information, are also central. Due to agriculture's dual role as not only a producer of food, fibre and fuel, but also as a major land, water and energy consumer, agriculture is at the centre of both the food-water-energy-environment nexus and resource security debates. The recent confluence of a number of advances in data analytics, cloud computing, …
Beyond Spatial Reasoning: Challenges For Ecological Problem Solving, Christian Freksa
Beyond Spatial Reasoning: Challenges For Ecological Problem Solving, Christian Freksa
Journal of Spatial Information Science
This vision piece reflects upon virtues of early computer science due to scarcity and high cost of computational resources. It critically assesses divergences between real-world problems and their computational counterparts in commonsense problem solving. The paper points out the different objectives of commonsense versus scientific approaches to problem solving. It describes how natural cognitive systems exploit space and time without explicitly representing their properties and why purely computational approaches are less efficient than their natural role models, as they depend on explicit representations. We argue for investigating spatio-temporally integrated methods to spatial problem solving. We contrast these methods to sequential …
Wayfinding And Navigation Research For Sustainable Transport, Stephan Winter
Wayfinding And Navigation Research For Sustainable Transport, Stephan Winter
Journal of Spatial Information Science
Spatial information science contributes to the foundations of sustainable transport development. This article focuses especially on the role that research on human wayfinding and navigation plays when it comes to designing digital connectivity and autonomy in urban transport.
Trustworthy Maps, Amy L. Griffin
Trustworthy Maps, Amy L. Griffin
Journal of Spatial Information Science
Maps get used for decision making about the world's most pressing problems (e.g., climate change, refugee crises, biodiversity loss, rising inequality, pandemic disease). Although maps have historically been a trusted source of information, changes in society (e.g., lower levels of trust in decision makers) and in mapmaking technologies and practices (e.g., anyone can now make their own maps) mean that we need to spend some time thinking about how, when, and why people trust maps and mapmaking processes. This is critically important if we want stakeholders to engage constructively with the information we present in maps, because they are unlikely …
An Algorithm For The Selection Of Route Dependent Orientation Information, Heinrich Loewen, Angela Schwering
An Algorithm For The Selection Of Route Dependent Orientation Information, Heinrich Loewen, Angela Schwering
Journal of Spatial Information Science
Landmarks are important features of spatial cognition and are naturally included in human route descriptions. In the past algorithms were developed to select the most salient landmarks at decision points and automatically incorporate them in route instructions. Moreover, it was shown that human route descriptions contain a significant amount of orientation information, which support the users to orient themselves regarding known environmental information, and it was shown that orientation information support the acquisition of survey knowledge. Thus, there is a need to extend the landmarks selection to automatically select orientation information. In this work, we present an algorithm for the …
Ontology Of Core Concept Data Types For Answering Geo-Analytical Questions, Simon Scheider, Rogier Meerlo, Vedran Kasalica, Anna-Lena Lamprecht
Ontology Of Core Concept Data Types For Answering Geo-Analytical Questions, Simon Scheider, Rogier Meerlo, Vedran Kasalica, Anna-Lena Lamprecht
Journal of Spatial Information Science
In geographic information systems (GIS), analysts answer questions by designing workflows that transform a certain type of data into a certain type of goal. Semantic data types help constrain the application of computational methods to those that are meaningful for such a goal. This prevents pointless computations and helps analysts design effective workflows. Yet, to date it remains unclear which types would be needed in order to ease geo-analytical tasks. The data types and formats used in GIS still allow for huge amounts of syntactically possible but nonsensical method applications. Core concepts of spatial information and related geo-semantic distinctions have …
Geospatial Privacy And Security, Grant Mckenzie, Carsten Keßler, Clio Andris
Geospatial Privacy And Security, Grant Mckenzie, Carsten Keßler, Clio Andris
Journal of Spatial Information Science
No abstract provided.
Editorial, Ross Purves, Benjamin Adams
Editorial, Ross Purves, Benjamin Adams
Journal of Spatial Information Science
No abstract provided.
Methosm: A Methodology For Computing Composite Indicators Derived From Openstreetmap Data, Dumitru Roman, Tatiana Tarasova, Javier Paniagua
Methosm: A Methodology For Computing Composite Indicators Derived From Openstreetmap Data, Dumitru Roman, Tatiana Tarasova, Javier Paniagua
Journal of Spatial Information Science
The task of computing composite indicators to define and analyze complex social, economic, political, or environmental phenomena has traditionally been the exclusive competence of statistical offices. Nowadays, the availability of increasing volumes of data and the emergence of the open data movement have enabled individuals and businesses affordable access to all kinds of datasets that can be used as valuable input to compute indicators. OpenStreetMap (OSM) is a good example of this. It has been used as a baseline to compute indicators in areas where official data is scarce or difficult to access. Although the extraction and application of OSM …
Exploring The Effectiveness Of Geomasking Techniques For Protecting The Geoprivacy Of Twitter Users, Song Gao, Jinmeng Rao, Xinyi Liu, Yuhao Kang, Qunying Huang, Joseph App
Exploring The Effectiveness Of Geomasking Techniques For Protecting The Geoprivacy Of Twitter Users, Song Gao, Jinmeng Rao, Xinyi Liu, Yuhao Kang, Qunying Huang, Joseph App
Journal of Spatial Information Science
With the ubiquitous use of location-based services, large-scale individual-level location data has been widely collected through location-awareness devices. Geoprivacy concerns arise on the issues of user identity de-anonymization and location exposure. In this work, we investigate the effectiveness of geomasking techniques for protecting the geoprivacy of active Twitter users who frequently share geotagged tweets in their home and work locations. By analyzing over 38,000 geotagged tweets of 93 active Twitter users in three U.S. cities, the two-dimensional Gaussian masking technique with proper standard deviation settings is found to be more effective to protect user's location privacy while sacrificing geospatial analytical …
Identifying The Use Of A Park Based On Clusters Of Visitors' Movements From Mobile Phone Data, Roberto Pierdicca, Marina Paolanti, Raffaele Vaira, Ernesto Marcheggiani, Eva Savina Malinverni, Emanuele Frontoni
Identifying The Use Of A Park Based On Clusters Of Visitors' Movements From Mobile Phone Data, Roberto Pierdicca, Marina Paolanti, Raffaele Vaira, Ernesto Marcheggiani, Eva Savina Malinverni, Emanuele Frontoni
Journal of Spatial Information Science
Planning urban parks is a burdensome task, requiring knowledge of countless variables that are impossible to consider all at the same time. One of these variables is the set of people who use the parks. Despite information and communication technologies being a valuable source of data, a standardized method which enables landscape planners to use such information to design urban parks is still broadly missing. The objective of this study is to design an approach that can identify how an urban green park is used by its visitors in order to provide planners and the managing authorities with a standardized …
Privacy, Space And Time: A Survey On Privacy-Preserving Continuous Data Publishing, Manos Katsomallos, Katerina Tzompanaki, Dimitris Kotzinos
Privacy, Space And Time: A Survey On Privacy-Preserving Continuous Data Publishing, Manos Katsomallos, Katerina Tzompanaki, Dimitris Kotzinos
Journal of Spatial Information Science
Sensors, portable devices, and location-based services, generate massive amounts of geo-tagged, and/or location- and user-related data on a daily basis. The manipulation of such data is useful in numerous application domains, e.g., healthcare, intelligent buildings, and traffic monitoring, to name a few. A high percentage of these data carry information of users' activities and other personal details, and thus their manipulation and sharing arise concerns about the privacy of the individuals involved. To enable the secure‚Äîfrom the users' privacy perspective‚Äîdata sharing, researchers have already proposed various seminal techniques for the protection of users' privacy. However, the continuous fashion in which …