BigGIS: How big data can shape next-generation GIS

The emergence of the “Big Data” concept is changing the way data are managed and analyzed. Traditional GIS software is limited in dealing with big data challenges including versatile data forms, steaming processing, large scale parallel computing, and dynamic mapping and visualization. Significant improvement is needed, which can result in next generation GIS. This paper gives an overview of recent methods in supporting big data management and analysis in geospatial domain. First, it motivates the necessity to develop and use the bigdata-aware GIS software. By reviewing advanced information technologies and approaches, it can assess what operational system framework and approaches are available and applicable in developing bigdata-enabled next-generation GIS - BigGIS. Key considerations for development of BigGIS are highlighted. The results can help identify critical issues and direct future research agenda for next-generation GIS.

[1]  Barbara P. Buttenfield,et al.  A Dynamic Architecture for Distributing Geographic Information Services , 2002, Trans. GIS.

[2]  Alexander L. Wolf,et al.  NaaS: Network-as-a-Service in the Cloud , 2012, Hot-ICE.

[3]  Lei Hu,et al.  Geoprocessing in Cloud Computing platforms – a comparative analysis , 2013, Int. J. Digit. Earth.

[4]  Michael F. Goodchild,et al.  Integrating spatial data analysis and GIS: a new implementation using the Component Object Model (COM) , 2002, Int. J. Geogr. Inf. Sci..

[5]  Liping Di,et al.  Geoscience Data Provenance: An Overview , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[7]  Yoon‐Seop Chang,et al.  XML Web Service‐based development model for Internet GIS applications , 2006, Int. J. Geogr. Inf. Sci..

[8]  Michael F. Goodchild.  GEOGRAPHIC INFORMATION SYSTEMS AND GEOGRAPHIC RESEARCH. , 1995 .

[9]  Ck Cheng,et al.  The Age of Big Data , 2015 .

[10]  Peng Yue,et al.  The Geoprocessing Web , 2012, Comput. Geosci..

[11]  Tom White,et al.  Hadoop: The Definitive Guide , 2009 .

[12]  Keqiu Li,et al.  Big Data Processing in Cloud Computing Environments , 2012, 2012 12th International Symposium on Pervasive Systems, Algorithms and Networks.

[13]  Wolfgang Lehner,et al.  Database as a service (DBaaS) , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).

[14]  Liping Di,et al.  GeoPW: Laying Blocks for the Geospatial Processing Web , 2010, Trans. GIS.

[15]  Divyakant Agrawal,et al.  Big data and cloud computing: current state and future opportunities , 2011, EDBT/ICDT '11.

[16]  Peng Yue,et al.  Intelligent services for discovery of complex geospatial features from remote sensing imagery , 2013 .

[17]  Sanjay Ghemawat,et al.  MapReduce: a flexible data processing tool , 2010, CACM.

[18]  P. Burrough,et al.  Principles of geographical information systems , 1998 .

[19]  David J. Abel,et al.  An exploration of GIS architectures for Internet environments , 1998 .

[20]  Peng Yue,et al.  Sensor Web event detection and geoprocessing over Big data , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[21]  Wilson C. Hsieh,et al.  Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.

[22]  Sachchidanand Singh,et al.  Big Data analytics , 2012 .

[23]  Nicholas R. Chrisman,et al.  History of GIS , 2016 .

[24]  Melnned M. Kantardzic.  Big Data Analytics , 2013, Lecture Notes in Computer Science.

[25]  Leonardo Neumeyer,et al.  S4: Distributed Stream Computing Platform , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[26]  Paul Zikopoulos,et al.  Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data , 2011 .

[27]  Guan Le,et al.  Survey on NoSQL database , 2011, 2011 6th International Conference on Pervasive Computing and Applications.

[28]  G. Nolan,et al.  Computational solutions to large-scale data management and analysis , 2010, Nature Reviews Genetics.

[29]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[30]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .