@conference {16903,
	title = {The internet spatial spreadsheet: enabling remote visualization of dynamic spatial data and ongoing query results over a network},
	booktitle = {Proceedings of the 11th ACM international symposium on Advances in geographic information systems},
	series = {GIS {\textquoteright}03},
	year = {2003},
	month = {2003///},
	pages = {154 - 160},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Moving object databases store and process data for objects that change location frequently. Materialized views maintained over time must be updated to reflect changes due to the motion of objects in their environment. To visualize view query results, displays must be updated to reflect the change. In this paper we present the Internet Spatial Spreadsheet (ISS) as a means to organize, query, and visualize changing spatial data in a network environment such as the Internet.The goal of the ISS is to keep client visualizations of query results up to date with the server state. This is accomplished by pushing the minimal set of spatial data needed for rendering query results on the client. Incremental changes to query results are subsequently transmitted to the client as the database is updated to keep the visualization current. Additional constraints in the network environment such as firewall limitations are also considered.},
	keywords = {client server, GIS, Spatial databases, Visualization},
	isbn = {1-58113-730-3},
	doi = {10.1145/956676.956697},
	url = {http://doi.acm.org/10.1145/956676.956697},
	author = {Iwerks,Glenn S. and Samet, Hanan}
}
@article {16898,
	title = {Use of the SAND spatial browser for digital government applications},
	journal = {Commun. ACM},
	volume = {46},
	year = {2003},
	month = {2003/01//},
	pages = {61 - 64},
	abstract = {Numerous federal agencies produce official statistics made accessible to ordinary citizens for searching and data retrieval. This is frequently done via the Internet through a Web browser interface. If this data is presented in textual format, it can often be searched and retrieved by such attributes as topic, responsible agency, keywords, or press release. However, if the data is of spatial nature, for example, in the form of a map, then using text-based queries is often too cumbersome for the intended audience. We describe the use of the SAND Spatial Browser to provide more power to users of these databases by enabling them to define and explore the specific spatial region of interest graphically. The SAND Spatial Browser allows users to form either purely spatial or mixed spatial/nonspatial queries intuitively, which can present information to users that might have been missed if only a textual interface was available.},
	keywords = {GIS},
	isbn = {0001-0782},
	doi = {10.1145/602421.602453},
	url = {http://doi.acm.org/10.1145/602421.602453},
	author = {Samet, Hanan and Alborzi,Houman and Brabec,Franti{\v s}ek and Esperan{\c c}a,Claudio and Hjaltason,G{\'\i}sli R. and Morgan,Frank and Tanin,Egemen}
}
@conference {16910,
	title = {Remote access to large spatial databases},
	booktitle = {Proceedings of the 10th ACM international symposium on Advances in geographic information systems},
	series = {GIS {\textquoteright}02},
	year = {2002},
	month = {2002///},
	pages = {5 - 10},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Enterprises in the public and private sectors have been making their large spatial data archives available over the Internet. However, interactive work with such large volumes of online spatial data is a challenging task. We propose two efficient approaches to remote access to large spatial data. First, we introduce a client-server architecture where the work is distributed between the server and the individual clients for spatial query evaluation, data visualization, and data management. We enable the minimization of the requirements for system resources on the client side while maximizing system responsiveness as well as the number of connections one server can handle concurrently. Second, for prolonged periods of access to large online data, we introduce APPOINT (an Approach for Peer-to-Peer Offloading the INTernet). This is a centralized peer-to-peer approach that helps Internet users transfer large volumes of online data efficiently. In APPOINT, active clients of the client-server architecture act on the server{\textquoteright}s behalf and communicate with each other to decrease network latency, improve service bandwidth, and resolve server congestions.},
	keywords = {client/server, GIS, Internet, peer-to-peer},
	isbn = {1-58113-591-2},
	doi = {10.1145/585147.585150},
	url = {http://doi.acm.org/10.1145/585147.585150},
	author = {Tanin,Egemen and Brabec,Franti{\v s}ek and Samet, Hanan}
}
@conference {17080,
	title = {Developing the next generation of Earth science data systems: the Global Land Cover Facility},
	booktitle = {Geoscience and Remote Sensing Symposium, 1999. IGARSS {\textquoteright}99 Proceedings. IEEE 1999 International},
	volume = {1},
	year = {1999},
	month = {1999///},
	pages = {616-618 vol.1 - 616-618 vol.1},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {A recent initiative by NASA has resulted in the formation of a federation of Earth science data partners. These Earth Science Information Partners (ESIPs) have been tasked with creating novel Earth science data products and services as well as distributing new and existing data sets to the Earth science community and the general public. The University of Maryland established its ESIP activities with the creation of the Global Land Cover Facility (GLCF). This joint effort of the Institute for Advanced Computer Studies (UMIACS) and the Department of Geography has developed an operational data archiving and distribution system aimed at advancing current land cover research efforts. The success of the GLCF is tied closely to assessing user needs as well. As the timely delivery of data products to the research community. This paper discusses the development and implementation of a web-based interface that allows users to query the authors{\textquoteright} data holdings and perform user requested processing tasks on demand. The GLCF takes advantage of a scaleable, high performance computing architecture for the manipulation of very large remote sensing data sets and the rapid spatial indexing of multiple format data types. The user interface has been developed with the cooperation of the Human-Computer Interaction Laboratory (HCIL) and demonstrates advances in spatial and temporal querying tools as well as the ability to overlay multiple raster and vector data sets. Their work provides one perspective concerning how critical earth science data may be handled in the near future by a coalition of distributed data centers},
	keywords = {Computer architecture, data archiving, data distribution system, Data systems, Distributed computing, Earth science data products, Earth science data system, ESIP, geographic information system, geographic information systems, Geography, geophysical measurement technique, geophysical signal processing, geophysical techniques, Geoscience, GIS, GLCF, Global Land Cover Facility, High performance computing, Indexing, information service, Information services, Institute for Advanced Computer Studies, land cover, NASA, next generation, PACS, Remote sensing, terrain mapping, UMIACS, University of Maryland, User interfaces, web-based interface},
	isbn = {0-7803-5207-6},
	doi = {10.1109/IGARSS.1999.773583},
	author = {Lindsay,F.E. and Townshend,J.R.G. and JaJa, Joseph F. and Humphries,J. and Plaisant, Catherine and Shneiderman, Ben}
}
