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UID:8284@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20141007T100000
DTEND;TZID=Europe/Paris:20141007T110000
DTSTAMP:20241120T210323Z
URL:https://www.i2m.univ-amu.fr/evenements/the-importance-of-spatial-suppo
 rt-in-environnemental-modeling-and-decision-making-a-geostatistical-approa
 ch/
SUMMARY: (...): The importance of spatial support in environnemental  model
 ing and decision-making : a geostatistical approach
DESCRIPTION:: In many applications of spatial statistics\, the data are mea
 surements recorded at distinct points in space. In other applications\, th
 e spatial variable of interest is inherently associated with a unit that h
 as area or volume (e.g. the permeability of a rock\, the rainfall in a wat
 ershed\, the reflectance value of a pixel in satellite images\, the cancer
  mortality rate in a county). The term support has come to mean simply the
  size or volume associated with each data value\, but the complete specifi
 cation of this term also includes the geometrical size\, shape\, and spati
 al orientation of the regions associated with the measurements.\n\nSpatial
  aggregation or upscaling is sometimes necessary to create or utilize mean
 ingful units for analysis (e.g. exposure units for soil pollution\, manage
 ment units in agriculture)\, or to make inference about a region of intere
 st (e.g. the average temperature of a lake\, the grade of a block of ore).
  In other applications\, the focus is on disaggregation or downscaling\, s
 uch as the creation of continuous map of population density from census-tr
 act data or the derivation of finer pixel values from sensors with coarse 
 resolution. Last\, one might be interested in deriving values for a set of
  polygons (e.g. census tracts) from another set of overlapping polygons (e
 .g. ZIP codes)\, an operation known as side-scaling. The three operations 
 of downscaling\, upscaling and side-scaling are part of the general proble
 m of change of support.\n\nThis talk will describe how geostatistical inte
 rpolation can be used to address the change of support problem\, allowing 
 the use of secondary information and incorporating the size and shape of g
 eographical units while fulfilling the mass-preserving or pycnophylactic p
 roperty of estimation. Besides the change of spatial support\, a common is
 sue in spatial interpolation is the combination of data measured over diff
 erent spatial supports. For example\, soil measurements recorded at discre
 te locations on the ground are often supplemented with choropleth maps (e.
 g. soil or geological maps) that model the spatial distribution of soil at
 tributes as the juxtaposition of polygons (areas) with constant values. A 
 coherent geostatistical approach to accommodate both areal and point data 
 in the spatial interpolation of continuous attributes will be introduced\,
  with applications to soil science and medical geography.\n\nhttps://sites
 .google.com/site/goovaertspierre/\n\nPierre Goovaerts\n\n\n
CATEGORIES:Séminaire,Analyse Appliquée
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