Geostatistical applications for precision agriculture:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht [u.a.]
Springer
2010
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XIV, 331 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9789048191321 |
Internformat
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| 245 | 1 | 0 | |a Geostatistical applications for precision agriculture |c M.A. Oliver, ed. |
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CONTENTS
1 AN OVERVIEW OF GEOSTATISTICS AND PRECISION
AGRICULTURE. 1
M.A. OLIVER
1.1 INTRODUCTION
.
1
1.1.1 A BRIEF HISTORY OF GEOSTATISTICS .
2
1.1.2 A BRIEF HISTORY OF PRECISION AGRICULTURE .
3
1.1.3 A BRIEF HISTORY OF GEOSTATISTICS IN PRECISION AGRICULTURE .
6
1.2 THE THEORY OF
GEOSTATISTICS.
7
1.2.1 STATIONARITY .
8
1.2.2 THE VARIOGRAM .
9
1.2.3 GEOSTATISTICAL PREDICTION: KRIGING .
12
1.3 CASE STUDY: FOOTBALL FIELD
.
18
1.3.1 SUMMARY STATISTICS .
19
1.3.2 VARIOGRAPHY .
20
1.3.3 KRIGING .
26
1.3.4 CONCLUSIONS .
31
REFERENCES
.
32
2 SAMPLING IN PRECISION AGRICULTURE
. 35
R. KERRY, M.A. OLIVER AND Z.L. FROGBROOK
2.1 INTRODUCTION
.
36
2.1.1 THE IMPORTANCE OF SPATIAL SCALE FOR SAMPLING .
37
2.1.2 HOW CAN GEOSTATISTICS HELP? .
38
2.1.3 HOW CAN THE VARIOGRAM BE USED TO GUIDE SAMPLING? .
39
2.2 VARIOGRAMS TO GUIDE SAMPLING
.
40
2.2.1 NESTED SURVEY AND ANALYSIS: RECONNAISSANCE VARIOGRAM .
40
2.2.2 VARIOGRAMS FROM ANCILLARY DATA .
43
2.3 USE OF THE VARIOGRAM TO GUIDE SAMPLING FOR BULKING .
47
2.3.1 CASE STUDY .
48
2.4 THE VARIOGRAM TO GUIDE GRID-BASED SAMPLING.
51
2.4.1 THE VARIOGRAM AND KRIGING EQUATIONS .
51
2.4.2 HALF THE VARIOGRAM RANGE 'RULE OF THUMB'
ASA GUIDETOSAMPLINGINTERVAL.
54
VII
VIII CONTENTS
2.5 VARIOGRAMS TO IMPROVE PREDICTIONS FROM SPARSE SAMPLING .
55
2.5.1 RESIDUAL MAXIMUM LIKELIHOOD (REML)
VARIOGRAMESTIMATOR.
55
2.5.2 STANDARDIZED VARIOGRAMS .
59
2.6 CONCLUSIONS
.
61
REFERENCES
.
62
3 SAMPLING IN PRECISION AGRICULTURE, OPTIMAL DESIGNS
FROM UNCERTAIN MODELS
. 65
B.P. MARCHANT AND R.M. LARK
3.1 INTRODUCTION
.
65
3.2 THE LINEAR MIXED MODEL: ESTIMATION, PREDICTIONS
ANDUNCERTAINTY.
67
3.2.1 THE MODEL .
67
3.2.2 ESTIMATION .
68
3.2.3 PREDICTION .
70
3.2.4 UNCERTAINTY.
71
3.3 OPTIMIZING SAMPLING SCHEMES BY SPATIAL
SIMULATEDANNEALING.
72
3.3.1 SPATIAL SIMULATED ANNEALING .
72
3.3.2 OBJECTIVE FUNCTIONS FROM THE LMM .
73
3.3.3 OPTIMIZED SAMPLE SCHEME FOR SINGLE PHASE
GEOSTATISTICALSURVEYS.
77
3.3.4 ADAPTIVE EXPLORATORY SURVEYS TO ESTIMATE
THEVARIOGRAM.
78
3.4 A CASE STUDY IN SOIL SAMPLING
.
81
3.5 CONCLUSIONS
.
85
REFERENCES
.
86
4 THE SPATIAL ANALYSIS OF YIELD DATA
. 89
T.W. GRIFFIN
4.1 INTRODUCTION
.
89
4.2 BACKGROUND OF SITE-SPECIFIC YIELD MONITORS .
90
4.2.1 CONCEPT OF A YIELD MONITOR .
93
4.2.2 CALIBRATION AND ERRORS .
94
4.2.3 COMMON USES OF YIELD MONITOR DATA .
95
4.2.4 PROFITABILITY OF YIELD MONITORS .
96
4.2.5 QUANTITY AND QUALITY OF PRODUCT .
97
4.3 MANAGING YIELD MONITOR DATA
.
97
4.3.1 QUALITY OF YIELD MONITOR DATA .
97
4.3.2 CHALLENGES IN THE USE OF YIELD DATA FOR
DECISIONMAKING.
100
4.3.3 ALIGNING SPATIALLY DISPARATE SPATIAL DATA LAYERS .
100
4.4 SPATIAL STATISTICAL ANALYSIS OF YIELD MONITOR DATA
.
101
4.4.1 EXPLICIT MODELLING OF SPATIAL EFFECTS
.
101
CONTENTS IX
4.4.2 SPATIAL INTERACTION STRUCTURE .
103
4.4.3 EMPIRICAL DETERMINATION OF SPATIAL
NEIGHBOURHOOD STRUCTURE .
104
4.5 CASE STUDY: SPATIAL ANALYSIS OF YIELD MONITOR DATA
FROMA FIELD-SCALEEXPERIMENT.
107
4.5.1 CASE STUDY DATA .
107
4.5.2 DATA ANALYSIS .
110
4.5.3 CASE STUDY RESULTS .
112
4.5.4 CASE STUDY SUMMARY .
112
4.6 CONCLUSION
.
113
REFERENCES
.
113
5 SPACE*TIME GEOSTATISTICS FOR PRECISION AGRICULTURE:
A CASE STUDY OF NDVI MAPPING FOR A DUTCH POTATO FIELD .117
G.B.M. HEUVELINK AND F.M. VAN EGMOND
5.1 INTRODUCTION
.
117
5.2 DESCRIPTION OF THE LAUWERSMEER STUDY SITE
ANDPOSITIONALCORRECTIONOFNDVIDATA.
119
5.3 EXPLORATORY DATA ANALYSIS OF LAUWERSMEER DATA .
120
5.4 SPACE*TIME GEOSTATISTICS
.
125
5.4.1 CHARACTERIZATION OF THE TREND .
126
5.4.2 CHARACTERIZATION OF THE STOCHASTIC RESIDUAL .
126
5.5 APPLICATION OF SPACE*TIME GEOSTATISTICS
TOTHELAUWERSMEERFARMDATA.
128
5.5.1 CHARACTERIZATION OF THE TREND .
128
5.5.2 CHARACTERIZATION OF THE STOCHASTIC RESIDUAL .
130
5.5.3 SPACE*TIME KRIGING.
131
5.6 DISCUSSION AND CONCLUSIONS
.
134
REFERENCES
.
136
6 DELINEATING SITE-SPECITHC MANAGEMENT UNITS
WITH PROXIMAL SENSORS
.139
D.L. CORWIN AND S.M. LESCH
6.1 INTRODUCTION
.
140
6.1.1 THE NEED FOR SITE-SPECIFIC MANAGEMENT .
140
6.1.2 DEFINITION OF SITE-SPECIFIC MANAGEMENT UNIT (SSMU) .
141
6.1.3 PROXIMAL SENSORS .
141
6.1.4 OBJECTIVE .
144
6.2 DIRECTED SAMPLING WITH A PROXIMAL SENSOR .
145
6.2.1 COMPLEXITY OF PROXIMAL SENSOR
MEASUREMENTSANDTHEROLEOFGEOSTATISTICS.
145
6.2.2 PRACTICAL CONSIDERATION OF DIFFERENCES IN SUPPORT .
146
6.3 DELINEATION OF SSMUS WITH A PROXIMAL SENSOR.
146
6.3.1 GEOSTATISTICAL MIXED LINEAR MODEL .
146
X CONTENTS
6.3.2 SOIL SAMPLING STRATEGIES BASED ON
GEO-REFERENCEDPROXIMALSENSORDATA.
148
6.3.3 APPLICATIONS OF GEOSTATISTICAL MIXED LINEAR
MODELSTOPROXIMALSENSORDIRECTEDSURVEYS.
150
6.4 CASE STUDY USING APPARENT SOIL ELECTRICAL
CONDUCTIVITY (EC
A
/
* SANJOAQUINVALLEY,CA.
151
6.4.1 MATERIALS AND METHODS .
151
6.4.2 RESULTS AND DISCUSSION .
155
6.5 CONCLUSION
.
161
REFERENCES
.
161
7 USING ANCILLARY DATA TO IMPROVE PREDICTION OF SOIL
AND CROP ATTRIBUTES IN PRECISION AGRICULTURE
.167
P. GOOVAERTS AND R. KERRY
7.1 INTRODUCTION
.
167
7.2 THEORY
.
169
7.2.1 VARIOGRAM AND CROSS-VARIOGRAM .
169
7.2.2 COKRIGING .
170
7.2.3 SIMPLE KRIGING WITH LOCAL MEANS .
171
7.2.4 KRIGING WITH AN EXTERNAL DRIFT .
172
7.3 CASE STUDY 1: THE YATTENDON SITE
.
172
7.3.1 SITE DESCRIPTION AND AVAILABLE DATA .
172
7.3.2 DATA PREPARATION .
174
7.3.3 VARIOGRAMS .
176
7.3.4 LEAVE-ONE-OUT CROSS-VALIDATION .
178
7.3.5 PATTERNS OF VARIATION .
181
7.3.6 HOW SMALL CAN THE SAMPLE SIZE OF PRIMARY
DATA BE WHEN SECONDARY DATA ARE AVAILABLE? .
184
7.4 CASE STUDY 2: THE WALLINGFORD SITE
.
188
7.4.1 SITE DESCRIPTION AND AVAILABLE DATA .
188
7.4.2 LEAVE-ONE-OUT CROSS-VALIDATION USING GRID
SAMPLEDDATA.
189
7.4.3 PATTERNS OF VARIATION .
190
7.5 CONCLUSIONS
.
192
REFERENCES
.
193
8 SPATIAL VARIATION AND SITE-SPECITHC MANAGEMENT
ZONES.195
R. KHOSLA, D.G. WESTFALL, R.M. REICH, J.S. MAHAL
AND W.J. GANGLOFF
8.1 INTRODUCTION
.
196
8.2 QUANTIFYING SPATIAL VARIATION IN SOIL AND CROP PROPERTIES
.
197
8.3 SITE-SPECIFIC MANAGEMENT ZONES.
199
8.3.1 SOIL PROPERTIES, CROPS AND GEOGRAPHIC
DISTRIBUTIONOFMANAGEMENTZONES.
200
8.3.2 TECHNIQUES OF DELINEATING MANAGEMENT ZONES .
202
CONTENTS XI
8.4 STATISTICAL EVALUATION OF MANAGEMENT ZONE
DELINEATIONTECHNIQUES:A CASESTUDY .
209
8.5 CONCLUSIONS
.
215
REFERENCES
.
216
9 WEEDS, WORMS AND
GEOSTATISTICS.221
R. WEBSTER
9.1 INTRODUCTION
.
221
9.2 WEEDS
.
222
9.3 NEMATODES
.
228
9.3.1 LIVES OF NEMATODES .
228
9.3.2 GEOSTATISTICAL APPLICATIONS .
229
9.3.3 CASE STUDY .
231
9.3.4 ECONOMICS .
234
9.4 THE FUTURE FOR GEOSTATISTICS IN PRECISE PEST CONTROL
.
239
REFERENCES
.
240
10 THE ANALYSIS OF SPATIAL EXPERIMENTS
.243
M.J. PRINGLE, T.F.A. BISHOP, R.M. LARK, B.M. WHELAN
AND A.B. MCBRATNEY
10.1 INTRODUCTION
.
244
10.2 BACKGROUND
.
245
10.3 MANAGEMENT-CLASS EXPERIMENTS .
247
10.3.1 CASE STUDY I: REML-BASED ANALYSIS
OFA MANAGEMENT-CLASSEXPERIMENT.
250
10.4 LOCAL-RESPONSE EXPERIMENTS
.
253
10.4.1 CASE STUDY II: ANALYSIS OF A LOCAL-RESPONSE
EXPERIMENT.
257
10.5 ALTERNATIVE APPROACHES TO EXPERIMENTATION
.
261
10.6 ISSUES FOR THE FUTURE
.
263
10.7 CONCLUSIONS
.
264
REFERENCES
.
265
11 APPLICATION OF GEOSTATISTICAL SIMULATION IN PRECISION
AGRICULTURE
.269
R. GEBBERS AND S. DE BRUIN
11.1 INTRODUCTION
.
270
11.1.1 BASICS OF GEOSTATISTICAL SIMULATION .
271
11.1.2 THEORY .
274
11.1.3 SEQUENTIAL GAUSSIAN SIMULATION .
275
11.1.4 TRANSFORMATION OF PROBABILITY DISTRIBUTIONS .
277
11.2 CASE STUDY I: UNCERTAINTY OF A PH MAP
.
278
11.2.1 INTRODUCTION .
278
11.2.2 MATERIALS AND METHODS .
278
11.2.3 RESULTS AND DISCUSSION .
280
11.2.4 SUMMARY AND CONCLUSIONS .
286
XII CONTENTS
11.3 CASE STUDY II: UNCERTAINTY IN THE POSITION
OFGEOGRAPHICOBJECTS .
287
11.3.1 INTRODUCTION .
287
11.3.2 METHODS .
288
11.3.3 STUDY SITE .
291
11.3.4 CONCLUSIONS .
296
11.4 CASE STUDY III: UNCERTAINTY PROPAGATION IN SOIL MAPPING .
296
11.4.1 INTRODUCTION .
296
11.4.2 MATERIALS AND METHODS .
297
11.4.3 RESULTS AND DISCUSSION .
298
11.4.4 CONCLUSIONS .
300
11.5 APPLICATION OF GEOSTATISTICAL SIMULATION IN PRECISION
AGRICULTURE:SUMMARY .
300
REFERENCES
.
301
12 GEOSTATISTICS AND PRECISION AGRICULTURE: A WAY FORWARD
.305
J.K. SCHUELLER
12.1 INTRODUCTION
.
305
12.2 WEATHER, TIME AND SPACE
.
306
12.3 FARMERS, ADVISORS AND RESEARCHERS
.
308
12.4 ISSUES, IDEAS AND QUESTIONS
.
310
12.5 PAST, PRESENT AND FUTURE
.
312
REFERENCES
.
312
APPENDIX: SOFTWARE
.313
A.1 GEOSTATISTICS IN GENSTAT
.
313
A.2 VESPER
.
315
A.2.1 BACKGROUND .
315
A.2.2 THE SOFTWARE .
316
A.2.3 APPLICATIONS.
320
A.3 SGEMS AND OTHER SOFTWARE .
321
A.3.1 SGEMS .
321
A.3.2 OTHER SOFTWARE .
322
REFERENCES
.
322
INDEX
.325 |
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| spelling | Geostatistical applications for precision agriculture M.A. Oliver, ed. Dordrecht [u.a.] Springer 2010 XIV, 331 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Geostatistik (DE-588)4020279-3 gnd rswk-swf Präzisionslandwirtschaft (DE-588)4706034-7 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Präzisionslandwirtschaft (DE-588)4706034-7 s Geostatistik (DE-588)4020279-3 s DE-604 Oliver, M. A. edt text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3439932&prov=M&dok_var=1&dok_ext=htm Inhaltstext SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020695037&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Geostatistical applications for precision agriculture Geostatistik (DE-588)4020279-3 gnd Präzisionslandwirtschaft (DE-588)4706034-7 gnd |
| subject_GND | (DE-588)4020279-3 (DE-588)4706034-7 (DE-588)4143413-4 |
| title | Geostatistical applications for precision agriculture |
| title_auth | Geostatistical applications for precision agriculture |
| title_exact_search | Geostatistical applications for precision agriculture |
| title_full | Geostatistical applications for precision agriculture M.A. Oliver, ed. |
| title_fullStr | Geostatistical applications for precision agriculture M.A. Oliver, ed. |
| title_full_unstemmed | Geostatistical applications for precision agriculture M.A. Oliver, ed. |
| title_short | Geostatistical applications for precision agriculture |
| title_sort | geostatistical applications for precision agriculture |
| topic | Geostatistik (DE-588)4020279-3 gnd Präzisionslandwirtschaft (DE-588)4706034-7 gnd |
| topic_facet | Geostatistik Präzisionslandwirtschaft Aufsatzsammlung |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3439932&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020695037&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT oliverma geostatisticalapplicationsforprecisionagriculture |