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| Paulan,Silvana de C.; Silva,Hélio R.; Lima,Elizete A. C. de Freitas; Flores,Edílson F.; Tachibana,Vilma M.; Kanda,Cláudia Z.; Noronha Junior,Antonio C. F. de; Dobre,Paulo R.. |
| Visceral Leishmaniasis (VL) is caused by protozoan of genus Leishmania and transmitted by sand flies of genus Lutzomyia, which has been adapted to the peridomicile environment where dogs are their mainly food source, increasing the risk for human cases. In this study, techniques of geoprocessing and spatial statistics were utilized as a contribution to understanding the epidemiological dynamics of VL in the urban area of Ilha Solteira, SP. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geoprocessing; Sand fly; Epidemiology; Spatial statistics. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000400016 |
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| Granger, Victoria; Bez, Nicolas; Fromentin, Jean-marc; Meynard, Christine; Jadaud, Angelique; Merigot, Bastien. |
| Mapping diversity indices, that is estimating values in all locations of a given area from some sampled locations, is central to numerous research and applied fields in ecology. Two approaches are used to map diversity indices without including abiotic or biotic variables: (i) the indirect approach, which consists in estimating each individual species distribution over the area, then stacking the distributions of all species to estimate and map a posteriori the diversity index, (ii) the direct approach, which relies on computing a diversity index in each sampled locations and then to interpolate these values to all locations of the studied area for mapping. For both approaches, we document drawbacks from theoretical and practical viewpoints and argue... |
| Tipo: Text |
Palavras-chave: Interpolation methods; Map; Quadratic entropy; Spatial statistics; Species diversity; Species richness; Beta-diversity. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00257/36819/37060.pdf |
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| Lefort, Riwal; Fablet, Ronan; Berger, Laurent; Boucher, Jm. |
| In this letter, we address the characterization of objects in 3-D sonar images of the water column obtained by a multibeam echo sounder. Compared with classic 2-D images from a monobeam echo sounder, these 3-D images provide finer scale observation of the pelagic biomasses and new tools to characterize 3-D distributions. By viewing object patterns as realizations of spatial point processes, we investigate descriptive spatial statistics. This method is then applied to 3-D fisheries acoustics data set for characterization of the distribution of pelagic fish schools. Reported experiments illustrate the relevance of the proposed descriptors. The comparison of our method with 2-D sonar data analysis further demonstrates the information gain from using 3-D sonar... |
| Tipo: Text |
Palavras-chave: Fisheries acoustics; Multibeam sensor; Object patterns in images; Point processes; Spatial statistics. |
| Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00056/16769/14270.pdf |
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| Ribeiro Jr,Paulo Justiniano; Viola,Denise Nunes; Demétrio,Clarice Garcia Borges; Manly,Bryan F.; Fernandes,Odair Aparecido. |
| Onion (Allium cepa) is one of the most cultivated and consumed vegetables in Brazil and its importance is due to the large laborforce involved. One of the main pests that affect this crop is the Onion Thrips (Thrips tabaci), but the spatial distribution of this insect, although important, has not been considered in crop management recommendations, experimental planning or sampling procedures. Our purpose here is to consider statistical tools to detect and model spatial patterns of the occurrence of the onion thrips. In order to characterize the spatial distribution pattern of the Onion Thrips a survey was carried out to record the number of insects in each development phase on onion plant leaves, on different dates and sample locations, in four rural... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Poisson distribution; Spatial statistics; Randomization tests; Geostatistics. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100013 |
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