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Description
  • Weed mapping was carried out on 3 fields in central Bohemia in order to characterize the spatial structure and temporal stability of weed populations over six years (1999-2004). A rectangular grid 40 x 40 m or 20 x 40 m respectively was established applying GPS (Global Positioning System) along the wheel tracks on trial fields. The number of plants for each species and the total weed coverage has been recorded at the grid points. The resulting weed map is strongly affected by the sampling intensity and by the interpolation method used. This paper evaluates the quality of weed maps created using different sampling grids and sample sizes and compares recently used interpolation methods (Ordinary Point Kriging and Inverse Distance Weighting (IDW)). Sample size was found to be critical, particularly for weed species having low economic thresholds such as Galium aparine L. Kriging produced smoothed maps, when a spherical variogram model was used, IDW resulted in artificial contours with spots around the g
  • Weed mapping was carried out on 3 fields in central Bohemia in order to characterize the spatial structure and temporal stability of weed populations over six years (1999-2004). A rectangular grid 40 x 40 m or 20 x 40 m respectively was established applying GPS (Global Positioning System) along the wheel tracks on trial fields. The number of plants for each species and the total weed coverage has been recorded at the grid points. The resulting weed map is strongly affected by the sampling intensity and by the interpolation method used. This paper evaluates the quality of weed maps created using different sampling grids and sample sizes and compares recently used interpolation methods (Ordinary Point Kriging and Inverse Distance Weighting (IDW)). Sample size was found to be critical, particularly for weed species having low economic thresholds such as Galium aparine L. Kriging produced smoothed maps, when a spherical variogram model was used, IDW resulted in artificial contours with spots around the g (en)
  • Weed mapping was carried out on 3 fields in central Bohemia in order to characterize the spatial structure and temporal stability of weed populations over six years (1999-2004). A rectangular grid 40 x 40 m or 20 x 40 m respectively was established applying GPS (Global Positioning System) along the wheel tracks on trial fields. The number of plants for each species and the total weed coverage has been recorded at the grid points. The resulting weed map is strongly affected by the sampling intensity and by the interpolation method used. This paper evaluates the quality of weed maps created using different sampling grids and sample sizes and compares recently used interpolation methods (Ordinary Point Kriging and Inverse Distance Weighting (IDW)). Sample size was found to be critical, particularly for weed species having low economic thresholds such as Galium aparine L. Kriging produced smoothed maps, when a spherical variogram model was used, IDW resulted in artificial contours with spots around the g (cs)
Title
  • Evaluation of sampling and interpolation methods used for weed mapping
  • Hodnocení vzorkovacích a interpolačních metod použitých pro mapování plevelů (cs)
  • Evaluation of sampling and interpolation methods used for weed mapping (en)
skos:prefLabel
  • Evaluation of sampling and interpolation methods used for weed mapping
  • Hodnocení vzorkovacích a interpolačních metod použitých pro mapování plevelů (cs)
  • Evaluation of sampling and interpolation methods used for weed mapping (en)
skos:notation
  • RIV/60460709:41210/06:17460!RIV07-MSM-41210___
http://linked.open.../vavai/riv/strany
  • 205;215
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6046070901)
http://linked.open...iv/cisloPeriodika
  • 20
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 474738
http://linked.open...ai/riv/idVysledku
  • RIV/60460709:41210/06:17460
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Weed mapping, spatial variability, interpolation, Kriging (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [104EADE2CF9C]
http://linked.open...i/riv/nazevZdroje
  • Zeitschrift für Pflanzenkrank.und Pflanzenschutz
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 1
http://linked.open...iv/tvurceVysledku
  • Hamouz, Pavel
  • Nováková, Kateřina
  • Soukup, Josef
  • Tyšer, Luděk
http://linked.open...n/vavai/riv/zamer
issn
  • 0340-8159
number of pages
http://localhost/t...ganizacniJednotka
  • 41210
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