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Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees
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| Zeitschriftentitel: | HortScience |
|---|---|
| Personen und Körperschaften: | , |
| In: | HortScience, 35, 2000, 4, S. 558D-558c |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
American Society for Horticultural Science
|
| Schlagwörter: |
| author_facet |
Logan, J. Mueller, M.A. Logan, J. Mueller, M.A. |
|---|---|
| author |
Logan, J. Mueller, M.A. |
| spellingShingle |
Logan, J. Mueller, M.A. HortScience Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees Horticulture |
| author_sort |
logan, j. |
| spelling |
Logan, J. Mueller, M.A. 0018-5345 2327-9834 American Society for Horticultural Science Horticulture http://dx.doi.org/10.21273/hortsci.35.4.558d <jats:p>Tennessee is located in an area of diverse topography, ranging in elevation from <100 m to ≈2000 m, with numerous hills and valleys. The physiography makes it very difficult to spatially interpolate weather data related to vegetable production, such as spring and fall freeze dates and growing degree days (GDD). In addition, there is a poor distribution of cooperative weather stations, especially those with 30 years or more of data. There are climate maps available for Tennessee, but they are of such a general format as to be useless for operational applications. This project is designed to use a geographic information system (GIS) and geospatial techniques to spatially interpolate freeze (0 °C) dates and GDD for different base temperatures and make the data available as Internet-based maps. The goal is to develop reasonable climate values for vegetable growing areas <1000 m in elevation at a 100 square km resolution. The geostatistics that we are evaluating include Thiessen polygons, triangulated irregular network (TIN), inverse distance weighting (IDW), spline, kriging, and cokriging. Data from 140 locations in and around Tennessee are used in the analysis. Incomplete data from 100 other locations are used to validate the models. GDD, which have much less year-to-year variability than freeze dates, can be successfully interpolated using inverse distance weighting (IDW) or spline techniques. Even a simple method like Thiessen produces fairly accurate maps. Freeze dates, however, are better off analyzed on an annual basis because the patterns can vary significantly from year to year. The annual maps can then be superimposed to give a better estimate of average spring and fall freeze dates.</jats:p> Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees HortScience |
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| title |
Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_unstemmed |
Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_full |
Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_fullStr |
Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_full_unstemmed |
Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_short |
Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_sort |
using geospatial techniques and gis to develop maps of freeze probabilities and growing degrees |
| topic |
Horticulture |
| url |
http://dx.doi.org/10.21273/hortsci.35.4.558d |
| publishDate |
2000 |
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558D-558c |
| description |
<jats:p>Tennessee is located in an area of diverse topography, ranging in elevation from <100 m to ≈2000 m, with numerous hills and valleys. The physiography makes it very difficult to spatially interpolate weather data related to vegetable production, such as spring and fall freeze dates and growing degree days (GDD). In addition, there is a poor distribution of cooperative weather stations, especially those with 30 years or more of data. There are climate maps available for Tennessee, but they are of such a general format as to be useless for operational applications. This project is designed to use a geographic information system (GIS) and geospatial techniques to spatially interpolate freeze (0 °C) dates and GDD for different base temperatures and make the data available as Internet-based maps. The goal is to develop reasonable climate values for vegetable growing areas <1000 m in elevation at a 100 square km resolution. The geostatistics that we are evaluating include Thiessen polygons, triangulated irregular network (TIN), inverse distance weighting (IDW), spline, kriging, and cokriging. Data from 140 locations in and around Tennessee are used in the analysis. Incomplete data from 100 other locations are used to validate the models. GDD, which have much less year-to-year variability than freeze dates, can be successfully interpolated using inverse distance weighting (IDW) or spline techniques. Even a simple method like Thiessen produces fairly accurate maps. Freeze dates, however, are better off analyzed on an annual basis because the patterns can vary significantly from year to year. The annual maps can then be superimposed to give a better estimate of average spring and fall freeze dates.</jats:p> |
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| description | <jats:p>Tennessee is located in an area of diverse topography, ranging in elevation from <100 m to ≈2000 m, with numerous hills and valleys. The physiography makes it very difficult to spatially interpolate weather data related to vegetable production, such as spring and fall freeze dates and growing degree days (GDD). In addition, there is a poor distribution of cooperative weather stations, especially those with 30 years or more of data. There are climate maps available for Tennessee, but they are of such a general format as to be useless for operational applications. This project is designed to use a geographic information system (GIS) and geospatial techniques to spatially interpolate freeze (0 °C) dates and GDD for different base temperatures and make the data available as Internet-based maps. The goal is to develop reasonable climate values for vegetable growing areas <1000 m in elevation at a 100 square km resolution. The geostatistics that we are evaluating include Thiessen polygons, triangulated irregular network (TIN), inverse distance weighting (IDW), spline, kriging, and cokriging. Data from 140 locations in and around Tennessee are used in the analysis. Incomplete data from 100 other locations are used to validate the models. GDD, which have much less year-to-year variability than freeze dates, can be successfully interpolated using inverse distance weighting (IDW) or spline techniques. Even a simple method like Thiessen produces fairly accurate maps. Freeze dates, however, are better off analyzed on an annual basis because the patterns can vary significantly from year to year. The annual maps can then be superimposed to give a better estimate of average spring and fall freeze dates.</jats:p> |
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| spelling | Logan, J. Mueller, M.A. 0018-5345 2327-9834 American Society for Horticultural Science Horticulture http://dx.doi.org/10.21273/hortsci.35.4.558d <jats:p>Tennessee is located in an area of diverse topography, ranging in elevation from <100 m to ≈2000 m, with numerous hills and valleys. The physiography makes it very difficult to spatially interpolate weather data related to vegetable production, such as spring and fall freeze dates and growing degree days (GDD). In addition, there is a poor distribution of cooperative weather stations, especially those with 30 years or more of data. There are climate maps available for Tennessee, but they are of such a general format as to be useless for operational applications. This project is designed to use a geographic information system (GIS) and geospatial techniques to spatially interpolate freeze (0 °C) dates and GDD for different base temperatures and make the data available as Internet-based maps. The goal is to develop reasonable climate values for vegetable growing areas <1000 m in elevation at a 100 square km resolution. The geostatistics that we are evaluating include Thiessen polygons, triangulated irregular network (TIN), inverse distance weighting (IDW), spline, kriging, and cokriging. Data from 140 locations in and around Tennessee are used in the analysis. Incomplete data from 100 other locations are used to validate the models. GDD, which have much less year-to-year variability than freeze dates, can be successfully interpolated using inverse distance weighting (IDW) or spline techniques. Even a simple method like Thiessen produces fairly accurate maps. Freeze dates, however, are better off analyzed on an annual basis because the patterns can vary significantly from year to year. The annual maps can then be superimposed to give a better estimate of average spring and fall freeze dates.</jats:p> Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees HortScience |
| spellingShingle | Logan, J., Mueller, M.A., HortScience, Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees, Horticulture |
| title | Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_full | Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_fullStr | Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_full_unstemmed | Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_short | Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| title_sort | using geospatial techniques and gis to develop maps of freeze probabilities and growing degrees |
| title_unstemmed | Using Geospatial Techniques and GIS to Develop Maps of Freeze Probabilities and Growing Degrees |
| topic | Horticulture |
| url | http://dx.doi.org/10.21273/hortsci.35.4.558d |