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stata v 13 0 18 descriptive statistics  (STATA Corporation)


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    STATA Corporation stata v 13 0 18 descriptive statistics
    Stata V 13 0 18 Descriptive Statistics, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 33813 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/stata+v+18+13/STATA+13%2E0/pm40527567-58-5-5
    Average 99 stars, based on 33813 article reviews
    stata v 13 0 18 descriptive statistics - by Bioz Stars, 2026-09
    99/100 stars

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    a Map of raw GPS points from a single pig (Village B). b Line map of the same pig’s roaming pattern with each color representing a unique day of movement. c Final LoCoH map of the same pig’s range with colors representing core (50%), home (90%) and maximum (100%) range levels. Satellite images from Google Satellite Hybrid extension for <t>QGIS.</t> Last update April 05, 2017
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    STATA Corporation v 13 18
    a Map of raw GPS points from a single pig (Village B). b Line map of the same pig’s roaming pattern with each color representing a unique day of movement. c Final LoCoH map of the same pig’s range with colors representing core (50%), home (90%) and maximum (100%) range levels. Satellite images from Google Satellite Hybrid extension for <t>QGIS.</t> Last update April 05, 2017
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    a Map of raw GPS points from a single pig (Village B). b Line map of the same pig’s roaming pattern with each color representing a unique day of movement. c Final LoCoH map of the same pig’s range with colors representing core (50%), home (90%) and maximum (100%) range levels. Satellite images from Google Satellite Hybrid extension for QGIS. Last update April 05, 2017

    Journal: Parasites & Vectors

    Article Title: Seasonal patterns in risk factors for Taenia solium transmission: a GPS tracking study of pigs and open human defecation in northern Peru

    doi: 10.1186/s13071-019-3614-5

    Figure Lengend Snippet: a Map of raw GPS points from a single pig (Village B). b Line map of the same pig’s roaming pattern with each color representing a unique day of movement. c Final LoCoH map of the same pig’s range with colors representing core (50%), home (90%) and maximum (100%) range levels. Satellite images from Google Satellite Hybrid extension for QGIS. Last update April 05, 2017

    Article Snippet: All data were analyzed using R v.3.2 (R Foundation for Statistical Computing, http://www.r-project.org ), QGIS v.2.18 (Open Source Geospatial Foundation Project, http://qgis.osgeo.org ) and Stata v.13.1 (StataCorp, College Station, TX, USA).

    Techniques:

    LoCoH home range maps of 6 representative pigs from 3 study villages. a Village A, rainy season. b Village A, dry season, c Village B, rainy season. d Village B, dry season. e Village C, rainy season. f Village C, dry season. Adjacent maps are from pigs of the same household in the rainy and dry seasons. LoCoH range levels represent densest 50% (core), 90% (home) and 100% (maximum) of roaming area. Satellite images from Google Satellite Hybrid extension for QGIS. Last update April 05, 2017

    Journal: Parasites & Vectors

    Article Title: Seasonal patterns in risk factors for Taenia solium transmission: a GPS tracking study of pigs and open human defecation in northern Peru

    doi: 10.1186/s13071-019-3614-5

    Figure Lengend Snippet: LoCoH home range maps of 6 representative pigs from 3 study villages. a Village A, rainy season. b Village A, dry season, c Village B, rainy season. d Village B, dry season. e Village C, rainy season. f Village C, dry season. Adjacent maps are from pigs of the same household in the rainy and dry seasons. LoCoH range levels represent densest 50% (core), 90% (home) and 100% (maximum) of roaming area. Satellite images from Google Satellite Hybrid extension for QGIS. Last update April 05, 2017

    Article Snippet: All data were analyzed using R v.3.2 (R Foundation for Statistical Computing, http://www.r-project.org ), QGIS v.2.18 (Open Source Geospatial Foundation Project, http://qgis.osgeo.org ) and Stata v.13.1 (StataCorp, College Station, TX, USA).

    Techniques: