From ari.jolma at gmail.com Mon Aug 10 13:31:40 2009 From: ari.jolma at gmail.com (Ari Jolma) Date: Mon, 10 Aug 2009 14:31:40 +0300 Subject: [Freegis-list] Strange behavior in Tree::R CPAN module In-Reply-To: <20090729193414.GA27961@valhalla.localdomain> References: <20090729193414.GA27961@valhalla.localdomain> Message-ID: <4A80051C.30304@tkk.fi> Brandon, Thanks, I've fixed this by explicitly removing the root node in the case when last object is removed from the tree. I also now check for empty trees in methods objects and dump. I added your tests to the test suite. The new version 0.06 is (or will soon be) in CPAN. Best regards, Ari Brandon Forehand kirjoitti: > So, I was using the Tree::R module, and I ran into a strange problem, so > I wrote a small unit test to test the problem, and it appears the source > of the bug may be in Tree::R itself. The underlying cause seems to be > that when you remove everything from a Tree::R object and then insert > something back into the same Tree::R object, the resulting number of > objects in the Tree is no longer correct. Here's a small unit test that > reproduces the bug: > > use strict; > use warnings; > > use Test::More tests => 5; > > BEGIN { use_ok('Tree::R'); } > > my $r_tree = Tree::R->new(); > > isa_ok($r_tree, 'Tree::R'); > > my $rects = { > 1 => [0, 0, 10, 20], > 2 => [20, 0, 10, 20], > 3 => [0, 30, 10, 20], > 4 => [20, 30, 10, 20], > }; > > for my $rect (keys %$rects) { > $r_tree->insert($rect, @{$rects->{$rect}}); > } > > { > my @objects; > $r_tree->objects(\@objects); > > is(scalar(@objects), 4); > } > > for my $rect (keys %$rects) { > $r_tree->remove($rect); > } > > { > my @objects; > $r_tree->objects(\@objects); > > is(scalar(@objects), 0); > } > > $r_tree->insert($rects->{1}, @{$rects->{1}}); > > { > my @objects; > $r_tree->objects(\@objects); > > is(scalar(@objects), 1); > } > > In this unit test, the last test fails for me. Instead of the value 1, > I got 2. I don't believe that this is the intended behavior > > -- Prof. Ari Jolma Environmental Management Information Technology Teknillinen Korkeakoulu / Helsinki University of Technology tel: +358 9 4511 address: POBox 5300, 02015 TKK, Finland Email: ari.jolma at tkk.fi URL: http://geoinformatics.tkk.fi From daij at leda.nvc.cs.vt.edu Tue Aug 11 02:26:41 2009 From: daij at leda.nvc.cs.vt.edu (daij@leda.nvc.cs.vt.edu) Date: Mon, 10 Aug 2009 20:26:41 -0400 Subject: [Freegis-list] SIGSPATIAL Workshop on Uncertain Data - Call for Papers Message-ID: <20090811002641.GA6249@leda.nvc.cs.vt.edu> *********************************************************************************** QUeST 2009 Call for Papers 1st SIGSPATIAL ACM GIS International Workshop on Querying and Mining Uncertain Spatio-Temporal Data November 3, 2009, Seattle, WA, USA http://www.dbs.ifi.lmu.de/~berneck/quest/ *********************************************************************************** Querying and mining uncertain data has received a lot of attention from the research community in recent years due to the enormous increase of geographically referenced data occasioned by developments in IT, digital mapping and remote sensing. The global expansion of Geo Information Systems emphasizes the importance of developing data driven inductive approaches to geographical analysis and modeling. An important problem is that collected data often is inherently imprecise and may contain incomplete, inaccurate or outdated information. Such data arises particular in dynamic environments. Traditional querying and mining approaches are often inapplicable or may extract misleading or plain wrong information when applied to uncertain data. Therefore, modern data management solutions coping with uncertain data are very important for numerous spatio-temporal applications such as location-based services. The incorporation of the uncertainty of spatio-temporal data increases the quality of query results. However, new problems arise, such as higher computational complexity and the need for proper representation of probabilistic query results. Thus novel querying methods are required. Querying and mining uncertain spatio-temporal data requires joint effort from multiple research communities. The aim of this workshop is to provide a unique forum for discussing in depth the challenges, opportunities, techniques and applications on the topic of coping with uncertainty in spatial, temporal and spatio-temporal domains. TOPICS: Topics of interest include, but are not limited to the following aspects: - Models for uncertain spatial, temporal and spatio-temporal data - Managing uncertain spatial, temporal and spatio-temporal data - Querying uncertain spatial, temporal and spatio-temporal data - Probabilistic spatial query processing - Probabilistic stream processing - Probabilistic similarity search - Indexing uncertain data - Mining uncertain spatial, temporal and spatio-temporal data - Probabilistic spatio-temporal pattern mining - Managing uncertain data from sensor networks - Location-based service based on uncertain information - Privacy preserving and security in spatial and spatio-temporal domains - Traffic monitoring and prediction SUBMISSION INSTUCTIONS: We welcome submissions of both technical papers and vision/position papers. We have two categories of papers and presentations: - Full research paper: up to 8 pages (20 min. talk) - Short technical or vision paper: up to 4 pages (5-10 min. talk) Authors are invited to submit full, original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at: http://www.acm.org/sigs/pubs/proceed/template.html Papers must be electronically submitted in PDF format at the following address: http://www.easychair.org/conferences/?conf=quest09 Authors of accepted papers must guarantee that their paper will be presented at the workshop. IMPORTANT DATES: Paper submissions due: September 4, 2009 Notification to the authors: September 28, 2009 Camera ready papers due: October 9, 2009 ACM GIS 2009 Conference: November 4-6, 2009 QUeST Workshop: November 3, 2009 GENERAL CHAIRS: Matthias Renz, Ludwig-Maximilians-Universit?t M?nchen, Germany Peer Kr?ger, Ludwig-Maximilians-Universit?t M?nchen, Germany WEB SITE CHAIR: Thomas Bernecker, Ludwig-Maximilians-Universit?t M?nchen, Germany PROGRAM COMMITTEE: Lei Chen, Hong Kong of Science and Technology, Hong Kong, China Reynold Cheng, The University of Hong Kong Pokfulam, Hong Kong, China George Kollios, Boston University, Boston, MA, USA Feifei Li, Boston University, Boston, MA, USA Xuemin Lin, University of New South Wales, Sydney, Australia Vebjorn Ljosa, University of California, Santa Barbara, CA, USA Hua Lu, Aalborg University, Denmark Nikos Mamoulis, The University of Hong Kong Pokfulam, Hong Kong, China Mohamed F. Mokbel, University of Minnesota, Minneapolis, MN, USA Mario Nascimento, University of Alberta, Canada Jian Pei, Simon Fraser University, Canada Matthias Schubert, Ludwig-Maximilians-Universit?t M?nchen, Germany Rahul Shah, Louisiana State University, LA, USA Cyrus Shahabi, University of Southern California, Los Angeles, CA, USA Xiaokui Xiao, Cornell University, Ithaca, NY, USA Man Lung Yiu, Aalborg University, Denmark Andreas Z?fle, Ludwig-Maximilians-Universit?t M?nchen, Germany --------------------------------------------------------------------------- To unsubscribe from the list, forward this with 'Unsubscribe' in subject line to daij at vt.edu. -------------- next part -------------- *********************************************************************************** QUeST 2009 Call for Papers 1st SIGSPATIAL ACM GIS International Workshop on Querying and Mining Uncertain Spatio-Temporal Data November 3, 2009, Seattle, WA, USA http://www.dbs.ifi.lmu.de/~berneck/quest/ *********************************************************************************** Querying and mining uncertain data has received a lot of attention from the research community in recent years due to the enormous increase of geographically referenced data occasioned by developments in IT, digital mapping and remote sensing. The global expansion of Geo Information Systems emphasizes the importance of developing data driven inductive approaches to geographical analysis and modeling. An important problem is that collected data often is inherently imprecise and may contain incomplete, inaccurate or outdated information. Such data arises particular in dynamic environments. Traditional querying and mining approaches are often inapplicable or may extract misleading or plain wrong information when applied to uncertain data. Therefore, modern data management solutions coping with uncertain data are very important for numerous spatio-temporal applications such as location-based services. The incorporation of the uncertainty of spatio-temporal data increases the quality of query results. However, new problems arise, such as higher computational complexity and the need for proper representation of probabilistic query results. Thus novel querying methods are required. Querying and mining uncertain spatio-temporal data requires joint effort from multiple research communities. The aim of this workshop is to provide a unique forum for discussing in depth the challenges, opportunities, techniques and applications on the topic of coping with uncertainty in spatial, temporal and spatio-temporal domains. TOPICS: Topics of interest include, but are not limited to the following aspects: - Models for uncertain spatial, temporal and spatio-temporal data - Managing uncertain spatial, temporal and spatio-temporal data - Querying uncertain spatial, temporal and spatio-temporal data - Probabilistic spatial query processing - Probabilistic stream processing - Probabilistic similarity search - Indexing uncertain data - Mining uncertain spatial, temporal and spatio-temporal data - Probabilistic spatio-temporal pattern mining - Managing uncertain data from sensor networks - Location-based service based on uncertain information - Privacy preserving and security in spatial and spatio-temporal domains - Traffic monitoring and prediction SUBMISSION INSTUCTIONS: We welcome submissions of both technical papers and vision/position papers. We have two categories of papers and presentations: - Full research paper: up to 8 pages (20 min. talk) - Short technical or vision paper: up to 4 pages (5-10 min. talk) Authors are invited to submit full, original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at: http://www.acm.org/sigs/pubs/proceed/template.html Papers must be electronically submitted in PDF format at the following address: http://www.easychair.org/conferences/?conf=quest09 Authors of accepted papers must guarantee that their paper will be presented at the workshop. IMPORTANT DATES: Paper submissions due: September 4, 2009 Notification to the authors: September 28, 2009 Camera ready papers due: October 9, 2009 ACM GIS 2009 Conference: November 4-6, 2009 QUeST Workshop: November 3, 2009 GENERAL CHAIRS: Matthias Renz, Ludwig-Maximilians-Universit?t M?nchen, Germany Peer Kr?ger, Ludwig-Maximilians-Universit?t M?nchen, Germany WEB SITE CHAIR: Thomas Bernecker, Ludwig-Maximilians-Universit?t M?nchen, Germany PROGRAM COMMITTEE: Lei Chen, Hong Kong of Science and Technology, Hong Kong, China Reynold Cheng, The University of Hong Kong Pokfulam, Hong Kong, China George Kollios, Boston University, Boston, MA, USA Feifei Li, Boston University, Boston, MA, USA Xuemin Lin, University of New South Wales, Sydney, Australia Vebjorn Ljosa, University of California, Santa Barbara, CA, USA Hua Lu, Aalborg University, Denmark Nikos Mamoulis, The University of Hong Kong Pokfulam, Hong Kong, China Mohamed F. Mokbel, University of Minnesota, Minneapolis, MN, USA Mario Nascimento, University of Alberta, Canada Jian Pei, Simon Fraser University, Canada Matthias Schubert, Ludwig-Maximilians-Universit?t M?nchen, Germany Rahul Shah, Louisiana State University, LA, USA Cyrus Shahabi, University of Southern California, Los Angeles, CA, USA Xiaokui Xiao, Cornell University, Ithaca, NY, USA Man Lung Yiu, Aalborg University, Denmark Andreas Z?fle, Ludwig-Maximilians-Universit?t M?nchen, Germany -------------- next part -------------- A non-text attachment was scrubbed... Name: QUeST09CfP.pdf Type: application/pdf Size: 40932 bytes Desc: not available Url : http://www.intevation.de/pipermail/freegis-list/attachments/20090810/ddaff187/QUeST09CfP.pdf From Pasquale.Didonato at uniroma1.it Wed Aug 12 01:00:31 2009 From: Pasquale.Didonato at uniroma1.it (Pasquale.Didonato@uniroma1.it) Date: Wed, 12 Aug 2009 01:00:31 +0200 Subject: [Freegis-list] In vacation. Message-ID: Risposta automatica dal 7/8/09 fino al 6/9/09 In meritato riposo. Sar? in ufficio il 7 Settembre. In deserved rest. I'll be back on September 7th Ciao -------------- next part -------------- An HTML attachment was scrubbed... URL: http://www.intevation.de/pipermail/freegis-list/attachments/20090812/1deb952f/attachment.html From Pasquale.Didonato at uniroma1.it Wed Aug 12 01:00:48 2009 From: Pasquale.Didonato at uniroma1.it (Pasquale.Didonato@uniroma1.it) Date: Wed, 12 Aug 2009 01:00:48 +0200 Subject: [Freegis-list] In vacation. Message-ID: Risposta automatica dal 7/8/09 fino al 6/9/09 In meritato riposo. Sar? in ufficio il 7 Settembre. In deserved rest. I'll be back on September 7th Ciao -------------- next part -------------- An HTML attachment was scrubbed... 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Si no quieres recibir este tipo de mensajes de Facebook, haz clic en el enlace siguiente para borrar tu nombre de la lista de personas suscritas. http://www.facebook.com/o.php?k=2f9ebe&u=1318793103&mid=f2eefdG4e9b2f8fG0G8 Las oficinas de Facebook est?n en 1601 S. California Ave., Palo Alto, CA 94304 -------------- next part -------------- An HTML attachment was scrubbed... URL: http://www.intevation.de/pipermail/freegis-list/attachments/20090816/60be8879/attachment.html