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Selection: with tag clustering [9 articles] 

 

Archetypical patterns and trajectories of land systems in Europe

  
Regional Environmental Change (2015), pp. 1-18, https://doi.org/10.1007/s10113-015-0907-x

Abstract

Assessments of land-system change have dominantly focused on conversions among broad land-use categories, whereas intensity changes within these categories have received less attention. Considering that both modes of land change typically result in diverse patterns and trajectories of land-system change, there is a need to develop approaches to reduce this complexity. Using Europe as a case study, we applied a clustering approach based on self-organising maps and 12 land-use indicators to map (1) land-system archetypes for the year 2006, defined as ...

 

Would climate change drive species out of reserves? An assessment of existing reserve-selection methods

  
Global Change Biology, Vol. 10, No. 9. (September 2004), pp. 1618-1626, https://doi.org/10.1111/j.1365-2486.2004.00828.x

Abstract

Concern for climate change has not yet been integrated in protocols for reserve selection. However if climate changes as projected, there is a possibility that current reserve-selection methods might provide solutions that are inadequate to ensure species' long-term persistence within reserves. We assessed, for the first time, the ability of existing reserve-selection methods to secure species in a climate-change context. Six methods using a different combination of criteria (representation, suitability and reserve clustering) are compared. The assessment is carried out using ...

 

Defining pyromes and global syndromes of fire regimes

  
Proceedings of the National Academy of Sciences, Vol. 110, No. 16. (16 April 2013), pp. 6442-6447, https://doi.org/10.1073/pnas.1211466110

Abstract

Fire is a ubiquitous component of the Earth system that is poorly understood. To date, a global-scale understanding of fire is largely limited to the annual extent of burning as detected by satellites. This is problematic because fire is multidimensional, and focus on a single metric belies its complexity and importance within the Earth system. To address this, we identified five key characteristics of fire regimes—size, frequency, intensity, season, and extent—and combined new and existing global datasets to represent each. We ...

 

Space–time fractal properties of the forest-fire series in central Italy

  
Communications in Nonlinear Science and Numerical Simulation, Vol. 12, No. 7. (October 2007), pp. 1326-1333, https://doi.org/10.1016/j.cnsns.2005.12.003

Abstract

The space–time fractality of the forest-fire sequence (1997–2003) occurred in the Tuscany Region (central Italy), one of the most vulnerable to wildfires in Italy, has been approached by using spatial and temporal fractal tools. The fractal exponent α, estimated by the Fano factor method, characterises the time-clustering behaviour of the set of fires, while the correlation dimension Dc, calculated by means of the correlation integral method, gives information on the space-clustering behaviour of the sequence of fires. We found that (i) ...

 

Clustering by fast search and find of density peaks

  
Science, Vol. 344, No. 6191. (26 June 2014), pp. 1492-1496, https://doi.org/10.1126/science.1242072

Abstract

[Abstract] Cluster analysis is aimed at classifying elements into categories on the basis of their similarity. Its applications range from astronomy to bioinformatics, bibliometrics, and pattern recognition. We propose an approach based on the idea that cluster centers are characterized by a higher density than their neighbors and by a relatively large distance from points with higher densities. This idea forms the basis of a clustering procedure in which the number of clusters arises intuitively, outliers are automatically spotted and excluded ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 7

  
(February 2014)
Keywords: chamaerops-humilis   change   change-factor   channel-network   chaos   characteristics   charcoal   charcoal-analysis   check-list   chemical-analisys   chemical-composition   chemical-control   chemicals   chemosystematics   chenopodium-spp   chernobyl   chestnut-disease   chile   chilopsis-linearis   chimborazo   china   chionosphaera-cuniculicola   chionosphaera-spp   chloroplast-dna   chlorosis   cholera   chorisia-speciosa   choristoneura-conflictana   choristoneura-fumiferana   choristoneura-spp   chorology   chosenia-arbutifolia   chromium   chrysomela-populi   chrysomela-scripta   chrysomela-tremulae   chrysophyllum-albidum   chrysoptharta-bimaculata   chytridiopsis-typographi   cinchona-pubescens   cinnamomum-camphora   circular-economy   cistus-spp   citation-errors   citation-metrics   citeulike   citizen-science   citizen-sensor   citrus-aurantium   classification   classification-trees   clc   clear-cutting   clematis-alpina   clematis-vitalba   cliamte-change   cliffs   climate   climate-change   climate-change-impacts   climate-change-velocity   climate-engineering   climate-equity   climate-extremes   climate-growth-relations   climate-history   climate-models   climate-policy   climate-projections   climate-signal   climate-zones   climatic-conditions   climatic-gradient   climatic-niche   climatic-niche-shift   clostera-anachoreta   clostera-anastomosis   cloud-condensation   cloud-formation   cloudiness   clusia-rosea   clustering   co-evolution   co2   coal   coastal-settlement   coastline   coccoloba-uvifera   cocos-nucifera   codelet   coeloides-bostrichorum   coffea-arabica   coffea-canephora   cognitive-biases   cognitive-breakdown   cognitive-complexity   cognitive-load   cognitive-structure   cold-tolerance   inrmm-list-of-tags  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Efficient discovery of overlapping communities in massive networks

  
Proceedings of the National Academy of Sciences, Vol. 110, No. 36. (03 September 2013), pp. 14534-14539, https://doi.org/10.1073/pnas.1221839110

Abstract

Detecting overlapping communities is essential to analyzing and exploring natural networks such as social networks, biological networks, and citation networks. However, most existing approaches do not scale to the size of networks that we regularly observe in the real world. In this paper, we develop a scalable approach to community detection that discovers overlapping communities in massive real-world networks. Our approach is based on a Bayesian model of networks that allows nodes to participate in multiple communities, and a corresponding algorithm ...

 

Terrestrial ecoregions of the world: a new map of life on Earth

  
BioScience, Vol. 51, No. 11. (01 November 2001), pp. 933-938, https://doi.org/10.1641/0006-3568(2001)051[0933:teotwa]2.0.co;2

Abstract

A new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity ...

 

Social reference: aggregating online usage of scientific literature in CiteULike for clustering academic resources

  
In Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries (2011), pp. 401-402, https://doi.org/10.1145/1998076.1998155

Abstract

Citation-based methods have been widely studied and employed for clustering academic resources and mapping science. Although effective, these methods suffer from citation delay. In this study, we extend reference and citation analysis to a broader notion from social perspective. We coin the term "social reference" to refer to the references of literatures in social academic web environment. We propose clustering methods using social reference information from CiteULike. We experiment for journal clustering and author clustering using social reference and compare with ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/clustering

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.