Filters








13,820 Hits in 4.3 sec

Study on the Effects of Human Intention on Spatial Data Quality

Bo Zhao
2016 International Conference on GIScience Short Paper Proceedings  
Only then can we more effectively handle the emerging quality issues in the era of big data.  ...  The GIScience community has devoted considerable research to locational uncertainty rather than other types of spatial data quality issues.  ...  In the era of big data, the advent of mobile, social and geospatial technologies has created a considerable degree of heterogeneous, real-time and geo-referenced data.  ... 
doi:10.21433/b31180p357ks fatcat:pyy35mshmfcepmyehhmzgnetiu

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions [article]

Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao
2021 arXiv   pre-print
While there has been substantial progress in open-domain question answering, QA systems are still struggling to answer questions which involve geographic entities or concepts and that require spatial operations  ...  In this paper, we discuss the problem of geographic question answering (GeoQA).  ...  This work is funded by the NSF award 2033521 A1: KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies.  ... 
arXiv:2105.09392v1 fatcat:ulop6cpelvfb7f3fwcpioz4y24

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions

Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao
2021 AGILE: GIScience Series  
While there has been substantial progress in open-domain question answering, QA systems are still struggling to answer questions which involve geographic entities or concepts and that require spatial operations  ...  In this paper, we discuss the problem of geographic question answering (GeoQA).  ...  This work is funded by the NSF award 2033521 A1: KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies.  ... 
doi:10.5194/agile-giss-2-8-2021 fatcat:2yw42moduzhaneypiqcmyfxgee

GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY

S. Harbola, V. Coors
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The geo-spatial data requirements, increasing volumes, varying formats and quality standards, present challenges in managing, storing, visualising and analysing the data.  ...  Further, the current study provides a comprehensive review of the existing literature related to GV and VA from cities, highlighting the important open white spots for the cities' geo-spatial data handling  ...  In future, error and uncertainty in visualisation and analytics techniques along with the handling of real time geo-spatial data streams will be further explored and also with the focus on VA in windy  ... 
doi:10.5194/isprs-archives-xlii-4-w11-11-2018 fatcat:hr5ukkfhnnajvnwsd4mwftk5um

Uncertainty in the spatial metadata of historical photographs

Wolfgang Dorner, Anne Weinfurtner, Simon Graf
2018 Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality - TEEM'18  
We recommend a new concept to store and handle geo-information as metadata for historical photographs.  ...  Main point is, that established standards cannot handle uncertainty of geospatial information or are the source for uncertainty.  ...  We would like to thank Museum Fotoatelier Seidel in Český Krumlov for the provision of historical photographs for the purpose of this project.  ... 
doi:10.1145/3284179.3284321 dblp:conf/teem/DornerWG18 fatcat:sozeerbxunfxfhdr7onsxf2g6m

Visual scalability of spatial ensemble uncertainty

Sujan Anreddy, Song Zhang, Andrew Mercer, Jamie Dyer, J. Edward Swan
2015 2015 IEEE Conference on Visual Analytics Science and Technology (VAST)  
They are efficient in presenting insights of overall uncertainty but are inefficient in handling various distributions of uncertainty as their spatial visualization techniques are not effective in identifying  ...  METHODOLOGY In order to overcome the disadvantages with frameworks discussed in the earlier section, we propose a geo visual analytical framework that presents initial insights on parameterization schemes  ...  They are efficient in presenting insights of overall uncertainty but are inefficient in handling various distributions of uncertainty as their spatial visualization techniques are not effective in identifying  ... 
doi:10.1109/vast.2015.7347671 dblp:conf/ieeevast/AnreddyZMDS15 fatcat:4wc3a5liofcgbkazzqkn3wyvza

Facilitation of Spatial Database Model for Disaster Management

Seema U. Purohit, Shruti D. Mantri
2012 International Journal of Modeling and Optimization  
In this paper, the researchers have presented a Spatial Database Model for Geometric Path Planning suitable for facilitating Disaster Management activities.  ...  The spatial queries executed using the proposed approach can reduce the computational time needed to find an optimal collision free path for network analysis.  ...  Thus the ability to handle such real life constraints in a Geo-Spatial Data model is very important. E.  ... 
doi:10.7763/ijmo.2012.v2.165 fatcat:37upaj7unfhrvj6um37m6sae34

Extending Metadata Standards for Historical GIS Research

Shelley Burleson, Alberto Giordano
2015 International Journal of Applied Geospatial Research  
This article proposes a structure for handling commonly observed uncertainties in geo-historical data, using as case studies two historical geographical information systems (HGIS) projects that interweave  ...  The authors suggest using existing metadata standards as one way of handling the inherent uncertainties of geo-historical sources.  ...  In HGIS (Gregory & Ell, 2007; Hillier & Knowles, 2008; Knowles, 2000) , spatial data provide the framework for quantitative analysis, while the qualitative nature of historical data offers researchers  ... 
doi:10.4018/ijagr.2015100105 fatcat:m4ltc7f5drcxzf6dtnbg5pkk6m

Dealing with the Uncertainty of Having Incomplete Sources of Geo-Information in Spatial Planning

L. A. E. Vullings, C. A. Blok, C. G. A. M. Wessels, J. D. Bulens
2012 Applied Spatial Analysis and Policy  
We proposed two techniques-fuzzy logic and visualisation-for policy makers to deal with uncertainty resulting from incomplete geo-information sources in spatial planning at the regional and national planning  ...  Furthermore the uncertainty resulted in a lack of confidence in spatial plans by policymakers and supporting GIS staff.  ...  The Definition of Uncertainty in Spatial Planning Many definitions exist for uncertainty related to geo-information sources.  ... 
doi:10.1007/s12061-012-9076-1 fatcat:ycao35lzmrdsfebcsre5xelfu4

Taxonomy of nature inspired computational intelligence: A remote sensing perspective

Lavika Goel, Daya Gupta, V. K. Panchal, Ajith Abraham
2012 2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)  
Recently, the nature inspired computational intelligence (CI) techniques have emerged as an efficient mechanism to handle diverse uncertainty characteristics.  ...  Keywords---Natural computation; computational intelligence; geo-spatial feature extraction. 200 978-1-4673-4768-6 c 2012 IEEE  ...  In order to encounter with the inherent uncertainty in geo-spatial data, our observation is that Nature-Inspired Computing mechanism is aptly fit into the problem-solving framework.  ... 
doi:10.1109/nabic.2012.6402262 dblp:conf/nabic/GoelGPA12 fatcat:hkqubjcucjecdbdzzfyi4b4dnq

An Efficient and Enhanced approach for Spatial Search results
English

Saro jini, Satyanarayana Mummana
2014 International Journal of Engineering Trends and Technoloy  
In our approach we are handling the spatial queries in two ways and returns the only user specified number of optimal results and we implemented a cache based approach for efficient results.  ...  Optimizing the search engine is still an interesting research issue in the field of search engine optimization, Even though various approaches available for answering the spatial query, modern technology  ...  Spatial data objects can be gathered based on the distance measures between the user search query and query results by retrieving the geo codings of the user.Caching is the technique which stores the frequently  ... 
doi:10.14445/22315381/ijett-v10p241 fatcat:7252pdovwfhpjg4dm2fjovklre

Understanding and Managing Our Earth through Integrated Use and Analysis of Geo-Information

Wolfgang Kainz
2011 ISPRS International Journal of Geo-Information  
, and display of spatial data starting in the 1960s we speak of geo-information and geo-information systems.  ...  The processing and analysis of spatial data has a long history in the disciplines that deal with spatial data such as geography, surveying engineering, cartography, photogrammetry, and remote sensing.  ...  decision support systems, visualization theory and technology in real and virtual environments, cartography, location based services, uncertainty handling in spatial data, topology, geo-computation, geo-telematics  ... 
doi:10.3390/ijgi1010001 fatcat:b5gsnumpqvbzlm455hbwy75xca

Conceptual Modeling of Geographic Information System Applications [chapter]

Adnan Yazici, Kemal Akkaya
2000 Studies in Fuzziness and Soft Computing  
An important research trend in databases is to handle different types of uncertainty at both conceptual and logical levels for various non-traditional applications that may involve imprecision and uncertainty  ...  The types of uncertainty that we mainly focus in this paper are fuzzy, null, and incomplete information related to objects and their properties, classes, and relationships among objects and classes of  ...  In the ExIFO 2 model we represent the spatial properties by a collection type, Geos, which handles all the geometrical properties for an object.  ... 
doi:10.1007/978-3-7908-1845-1_7 fatcat:wh4mxifhwvd6znucyfe3kw564m

TOPOLOGICALLY CONSISTENT MODELS FOR EFFICIENT BIG GEO-SPATIO-TEMPORAL DATA DISTRIBUTION

M. W. Jahn, P. E. Bradley, M. Al Doori, M. Breunig
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Approaches for a new geo-spatio-temporal and object model of DB4GeO meeting the requirements of big geo-spatial data are discussed in detail.  ...  Furthermore, the data management for complex models consisting of big geo-spatial data is a challenge for GIS and geo-database research.  ...  Those technologies may be used to handle spatial archives and analytics, especially concerning geo-spatio-temporal data.  ... 
doi:10.5194/isprs-annals-iv-4-w5-65-2017 fatcat:6xklvytfhrc6xd6ps6x6ggwavq

Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty

Steve Dübel, Martin Röhlig, Christian Tominski, Heidrun Schumann
2017 Informatics  
This paper addresses the question of how to visually communicate all three aspects: the 3D terrain, the geo-spatial data, and the data-associated uncertainty.  ...  Visualizing geo-spatial data embedded into a three-dimensional terrain is challenging. The problem becomes even more complex when uncertainty information needs to be presented as well.  ...  However, they do not investigate geo-spatial data. In general, presenting uncertainty in a 3D geo-spatial frame of reference is a concern of ongoing research.  ... 
doi:10.3390/informatics4010006 fatcat:buinyjrbhbg5pjo4zj5lt4qdgq
« Previous Showing results 1 — 15 out of 13,820 results