Numerical geology: a source guide, glossary and selective bibliography to geological uses of computers and statistics
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Berlin u.a.
Springer
1988
|
| Series: | Lecture notes in earth sciences
18 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 330 - 378 |
| Physical Description: | XI, 427 S. zahlr. graph. Darst. |
| ISBN: | 3540500707 0387500707 |
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| 100 | 1 | |a Rock, Nicholas M. S. |e Verfasser |0 (DE-588)112041647 |4 aut | |
| 245 | 1 | 0 | |a Numerical geology |b a source guide, glossary and selective bibliography to geological uses of computers and statistics |c N. M. S. Rock |
| 264 | 1 | |a Berlin u.a. |b Springer |c 1988 | |
| 300 | |a XI, 427 S. |b zahlr. graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
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| 490 | 1 | |a Lecture notes in earth sciences |v 18 | |
| 500 | |a Literaturverz. S. 330 - 378 | ||
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| 650 | 4 | |a Géologie - Méthodes statistiques | |
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| adam_text | Titel: Numerical geology
Autor: Rock, Nicholas M. S.
Jahr: 1988
CONTENTS
List of Symbols and Abbreviations Used................................................................................................... 1
Introduction — Why this book?
Why study Numerical Geology?....................................................................................................... 3
Rationale and aims of this book....................................................................................................... 5
How to Use this Book........................................................................................................................... 7
SECTION I: INTRODUCTION TO GEOLOGICAL COMPUTER USE
TOPIC 1. UNDERSTANDING THE BASICS ABOUT COMPUTERS
la. Background history of computer use in the Earth Sciences....................................................................... 9
lb. Hardware: computer machinery..........................................................................................................10
lbl.Types of computers: accessibility, accuracy, speed and storage capacity.............................................10
lb2.Hardware for entering new data into a computer..............................................................................13
lb3.Storage media for entering, retrieving, copying and transferring pre-existing data..................................14
lM.Hardware for interacting with a computer: Terminals......................................................................15
lb5.Hardware for generating (outputting) hard-copies............................................................................16
lb6.Modes of interacting with a computer from a terminal.....................................................................17
lb7.The terminology of data-files as stored on computers......................................................................18
lc. Software: programs and programming languages.................................................................................. 18
Ici.Types of software.....................................................................................................................18
lc2.Systems software (operating systems and systems utilities)..............................................................18
Ic3 .Programming languages............................................................................................................20
Ic4.Graphics software standards........................................................................................................23
Id. Mainframes versus micros — which to use?......................................................................................... 23
TOPIC 2. RUNNING PROGRAMS: MAKING BEST USE OF EXISTING ONES,
OR PROGRAMMING YOURSELF
2a. Writing stand-alone programs from scratch......................................................................................... 25
2b. Sources of software for specialised geological applications.................................................................... 26
2c. Using proprietary or published subroutine libraries.............................................................................. 27
2d. Using Everyman packages............................................................................................................. 29
2e. A comparison of options................................................................................................................ 32
TOPIC 3. COMPUTERS AS SOURCES OF GEOSCIENCE INFORMATION:
NETWORKS DATABASES
3a. Communicating between computer users: Mail and Network Systems...................................................... 34
3b.Archiving and Compiling Large Bodies of Information: Databases and Information systems.......................... 37
3bl.Progress with Databases and Information Dissemination in the Geoscience Community....................... 37
3b2.Implementing and running databases: DataBase Management Systems (DBMS)..................................43
3b3.Database architecture — types of database structure........................................................................45
3b4. Facilitating exchange of data: standard formats and procedures........................................................ 48
TOPIC 4. WRITING, DRAWING AND PUBLISHING BY COMPUTER
4a. Computer-assisted writing (word-processing)...................................................................................... 49
4b. Computer-Assisted (Desktop) Publishing (CAP/DTP)......................................................................... 50
4c. Producing Maps Plots: Computer-Assisted Drafting (CAD) and Mapping........................................... 52
4d Combining graphics and databases: Geographic Information Systems (GIS)............................................ 54
TOPIC 5. USING COMPUTERS TO BACK UP HUMAN EFFORT: COMPUTER-ASSISTED
TEACHING, EXPERT SYSTEMS ARTIFICIAL INTELLIGENCE
5a. Computers as teachers: computer-aided instruction (CAI)...................................................................... 57
5b. Humanoid computers in geology: Artificial Intelligence (AI) and Expert Systems.................................... 59
VI
SECTION II. THE BEHAVIOUR OF NUMBERS: ELEMENTARY STATISTICS
TOPIC 6. SCALES OF MEASUREMENT AND USES OF NUMBERS IN GEOLOGY
6a. Dichotomous (binary, presence/absence, boolean, logical, yes/no) data..................................................... 63
6b. Nominal (multistate, identification, categorical, grouping, coded) data...................................................... 64
6c. Ordinal (ranking) data............................................................................................ 54
6d. Interval data..,......................................................................................... g5
6e. Ratio data.......................................................................................... gg
6f. Angular (orientation) data............................................................... gg
6g. Alternative ways of classifying scales of measurement........................................................................... 67
TOPIC 7. SOME CRUCIAL DEFINITIONS AND DISTINCTIONS
7a.Some Distinctions between Important but Vague Terms..................................................................... 68
7b.Parametric versus robust, nonparametric and distribution-free methods............................ZZZZZZZ ....... 69
7c.Univariate, Bivariate and Multivariate methods.............................................. ................................ 72
7d.Q-mode versus R-mode Techniques............................................ ....................................................... 72
7e.One-group, Two-group and Many-(multi-)group tests.............................ZZZZZZZZZZ .Z .Z................ 72
7f.Related (paired) and independent (unpaired) data/groups....................... .......................................... 72
7g.Terminology related to hypothesis testing..................................... ....................................................... 73
7h.Stochastic versus Deterministic Models............................... .............................................................. 75
TOPIC 8. DESCRIBING GEOLOGICAL DATA DISTRIBUTIONS
Sa.The main types of hypothetical data distribution encountered in geology 76
8al.The Normal (Gaussian) distribution................. ................................................. 76
8a2.The LogNormal distribution.......................................................................................................
8a3.The Gamma (O distribution....................................................................................................
8a4.The Binomial distribution.......................................................................................................... ¿I
8a5.The Multinomial distribution.................................................................................................... o,
8a6.The Hypergeometric distribution.......... ....................................................................................l
8a7.The Poisson distribution.............................................................................................................z .
8a8.The Negative Binomial distribution.......................................................................................... s~
SîE= g
8b2.Student s t distribution ................................................................................... 84
8b3.Fisher s (Snedecor s) F disttibutionll................................................................................. «
5
VII
9e.Expressing errors: Confidence Limits.................................................................................................. 109
9elParametric confidence limits for the arithmetic mean and standard deviation........................................ 109
9e2.Robust Confidence Intervals for the Mean, based on the Jackknife.................................................... 110
9e3.Robust Confidence Intervals for location estimates, based on Monte Carlo Swindles............................ Ill
9e4.Nonparametric Confidence Limits for the Median based on the Binomial Model...................................112
9f.Dealing with outliers (extreme values): should they be included or rejected?.................................................113
9fl.Types of statistical outliers: true, false and bizarre, statistical and geological.......................................113
9f2.Types of geological data: the concept of data homogeneity ..............................................................114
9f3.Tests for identifying statistical outliers manually........................................................................... 115
9f4.Avoiding Catastrophes: Extreme Value Statistics.......................................................................... 116
9f5.Identifying Anomalies: Geochemical Thresholds and Gap Statistics...................................................117
SECTION III: INTERPRETING DATA OF ONE VARIABLE:
UNIVARIATE STATISTICS
TOPIC 10. COMPARING TWO GROUPS OF UNIV ARIATE DATA 118
lOa.Comparing Location (mean) and Scale (variance) Parametrically: (- and F-tests.......................................... 120
lOal.Comparing variances parametrically: Fisher s F-test.................................................................... 120
10a2.Comparing Two Means Parametrically: Student s /-test (paired and unpaired).................................... 121
lOb.Comparing two small samples: Substitute Tests based on the Range....................................................... 123
lOc.Comparing Medians of Two Related (paired) Groups of Data Nonparametrically......................................... 123
lOcl.A crude test for related medians: the Sign Test............................................................................ 124
10c2.A test for before-and-after situations: the McNemar Test for the Significance of Changes.................. 124
10c3.A more powerful test for related medians: the Wilcoxon (matched-pairs, signed-ranks) Test................. 125
10c4.The most powerful test for related medians, based on Normal scores: the Van Eeden test.................... 126
lOd.Comparing Locations (medians) of Two Unrelated Groups Nonparametrically............................................ 126
lOdl.A crude test for unrelated medians: the Median Test..................................................................... 127
10d2.A quick and easy test for unrelated medians: Tukey s T test........................................................... 127
10d3.A powerful test for unrelated medians: the Mann-Whitney test....................................................... 128
10d4.The Normal scores tests for unrelated medians: the Terry-Hoeffding test......................................... 129
lOe.Comparing the Scale of Two Independent Groups of Data Nonparametrically............................................. 129
lOel.The Ansari-Bradley, David, Moses, Mood and Siegel-Tukey Tests................................................... 129
10e2.The Squared Ranks Test.......................................................................................................... 130
10e3.The Normal scores approach: the Klotz Test.............................................................................. 131
lOf.Comparing the overall distribution of two unrelated groups nonparametrically............................................ 132
lOfl.A crude test: the Wald-Wolfowitz (two-group) Runs Test.............................................................. 132
10Í2.A powerful test: the Smirnov (two-group Kolmogorov-Smimov) Test............................................ 133
10g. A Brief Comparison of Results of the Two-group Tests in Topic 10....................................................... 134
TOPIC 11. COMPARING THREE OR MORE GROUPS OF UNTVARIATE DATA:
One-way Analysis of Variance and Related Tests
1 la.Determining parametrically whether several groups have homogeneous variances........................................ 135
Hal.Hartley s maximum-F test...................................................................................................... 136
lla2.Cochran s C Test.................................................................................................................. 136
lla3.Bartlett s M Test................................................................................................................... 136
1 lb.Determining Parametrically whether Three or more Means are Homogeneous: One-Way ANOVA................. 138
llc.Determining which of several means differ: MULTIPLE COMPARISON TESTS..................................... 140
llcl.Fisher s PLSD (= protected least significant difference) test............................................................ 141
llc2.Scheffé s F Test.....................................................................................................................142
llc3.Tukey s w (HSD = Honestly Significant Difference) Test...............................................................142
Ilc4. The Student-Neuman-Keuls (S-N-K) Test..................................................................................143
Ilc5. Duncan s New Multiple Range Test..........................................................................................143
Ilc6. Dunnett s Test...................................................................................................................... 144
lld.A quick parametric test for several means: LORD S RANGE TEST........................................................ 144
1 le.Determining nonparametrically whether several groups of data have homogeneous medians........................... 145
llel.The 9-group extension of the Median Test...................................................................................145
lle2.A more powerful test: The Kruskal-Wallis One-way ANOVA by Ranks..........................................145
1 le3.The most powerful nonparametric test based on Normal scores: the Van der Waerden Test....................147
1 If.Determining Nonparametrically whether Several Groups of Data have Homogeneous Scale:
Vili
THE SQUARED RANKS TEST......................................................................... 147
1 lg.Determining Nonparametrically whether Several Groups of Data have the sairiei Distribution Shape............. 148
llgl.The 3-group Smirnov Test (Birnbaum-Hall Test)........................................................ 148
llg2.The ?-group Smirnov Test............................................ ................................... ,.g
llh.A brief comparison of the results of multi-group tests in Topic 11....1Z!1Z...... .1...........................150
SOPHISTICATED
12a. A General Note on ANOVA and the General Linear Model (GLM) ,,,
12b. What determines the range of designs in ANOVA? ........................................ ,„
^ ...........
12cl.The parametric approach..................... ..........................................................
12C2.A simple nonparametric approachr theFriedma n rwö- wa y Än Ö vA test...................................... m
... T12c3A m°re complex nonparametric approach: the Quade Test ........................................... «
l?Z7S^^ n f ^ ^^^^^.................
12dl.The parametric approach.......... ......................................................................................... 159
12d2.The nonparametric approach: the Durb^Test.......................................................................... !^
fw ¦T f Cr0SSed FaCtOrial Desi«ns with Replicationll............................................................. ™
2^2^ fZrT^r^TdeSÍgn WÍth ReplÍCatÍOn: Balanced ^ dUnb ia nced .:............................. £
12Í. À^nÏtpeaA^DeÎJ^^3110^ B—d and UnbakedIZZIZ S
12g. Analyzing data-within-data:
SECTION IV. INTERPRETING DATA WITH TWO VARIABLES
Bivanate Statistics
- »-» V««-: PEARSON, CORRELATON
=z:zz: S
........................... 184
........................... 185
Coefficient ofX. .....¦• •¦ ............................................ 187
-uemcientof determuiation, ANOVA.......................... 188
IX
14a4.Testing the regression model for defects: Autocorrelation and Heteroscedasticity................................. 189
14a5.Assessing the influence of outliers............................................................................................ 190
Maó.Confidence bands on regression lines......................................................................................... 191
14a7.Comparing regressions between samples or samples and populations: Confidence Intervals................. 191
14b. Calculating Linear Relationships where Both Variables are Subject to Error:
¦STRUCTURAL REGRESSION1.................................................................................................... 192
14c. Avoiding sensitivity to outliers: ROBUST REGRESSION.................................................................. 194
14d. Regression with few assumptions: NONPARAMETRIC REGRESSION................................................ 194
14dl.A method based on median slopes: Theil s Complete Method........................................................ 194
14d2.A quicker nonparametric method: Theil s Incomplete method......................................................... 195
14e.Fitting curves: POLYNOMIAL (CURVILINEAR, NONLINEAR) REGRESSION..................................... 196
14el.The parametric approach.......................................................................................................... 196
SECTION V: SOME SPECIAL TYPES OF GEOLOGICAL DATA
TOPIC 15. SOME PROBLEMATICAL DATA-TYPES IN GEOLOGY
15a. Geological Ratios......................................................................................................................... 200
15b. Geological Percentages and Proportions with Constant Sum: CLOSED DATA....................................... 202
15c.Methods for reducing or overcoming the Closure Problem..................................................................... 204
15c 1.Data transformations and recalculations..................................................................................... 204
15c2.Ratio normalising..................................................................................................................205
IScS.Hypothetical open arrays......................................................................................................... 205
15c4.Remaining space variables...................................................................................................... 206
15c5.A recent breakthrough: log-ratio transformations......................................................................... 206
15d.The Problem of Missing Data........................................................................................................... 206
15e.The Problem of Major, Minor and Trace elements................................................................................ 208
TOPIC 16. ANALYSING ONE-DIMENSIONAL SEQUENCES IN SPACE OR TIME
16a.Testing whether a single Series is Random or exhibits Trend or Periodicity.............................................. 209
16al.Testing for trend in ordinal or ratio data: Edgington s nonparametric test.......................................... 210
16a2.Testing for cycles in ordinal or ratio data: Noether s nonparametric test............................................ 210
16a3.Testing for specified trends: Cox Stuart s nonparametric test...................................................... 210
16a4.Testing for trend in dichotomous, nominal or ratio data: the one-group Runs Test............................. 212
16a5.Testing parametrically for cyclicity in nominal data-sequences: AUTO-ASSOCIATION...................... 213
16a61.ooking for periodicity in a sequence of ratio data: AUTO-CORRELATION................................... 215
16b.Comparing/correlating two sequences with one another......................................................................... 217
16bl.Comparing two sequences of nominal (multistate) data: CROSS-ASSOCIATION............................. 217
16b2.Comparing two sequences of ratio data: CROSS CORRELATION................................................. 218
16b3.Comparing two ordinal or ratio sequences nonparametrically: Burnaby s x2 procedure........................ 219
16c. Assessing the control of geological events by past events.................................................................... 221
16c 1.Quantifying the tendency of one state to follow another: transition probability matrices..................... 221
16c2.Assessing whether sequences have memory1: MARKOV CHAINS and PROCESSES....................... 222
16c3.Analyzing the tendency of states to occur together: SUBSTITUT ABILITY ANALYSIS..................... 223
16d. Sequences as combinations of waves: SPECTRAL (FOURIER) ANALYSIS.......................................... 224
16e. Separating noise from signal : FILTERING, SPLINES, TIME-TRENDS............................................. 225
TOPIC 17. ASSESSING GEOLOGICAL ORIENTATION DATA: AZIMUTHS, DIPS
AND STRIKES
17a. Special Properties of Orientation Data.............................................................................................. 226
17b. Describing distributions of 2-dimensional (circular) orientation data....................................................... 227
17bl.Graphical display.................................................................................................................. 227
17b2.Circular summary statistics.................................................................................................... 228
17b3.Circular data distributions...................................................................................................... 228
17c. Testing for uniformity versus preferred orientation in 2-D orientation data............................................... 230
17cl.A simple nonparametric test: Hodges-Ajne Test.......................................................................... 230
17c2.A more powerful nonparametric EDF test: Kuiper s Test............................................................. 231
17c3.A powerful nonparametric test: Watson ifl Test......................................................................... 231
17c4.The standard parametric test: Rayleigh s Test.............................................................................. 232
17d.One-group tests for mean directions and concentrations.......................................................................... 233
ne.Comparing two groups of 2-dimensional data...................................................................................... 234
17el.A nonparametric test: Mardia s uniform scores............................................................................ 234
17e2.An alternative nonparametric test: Watson s t/2......................................................................... 2^
17e3.A linear nonparametric test applicable to angular data: the Wald-Wolfowitz Runs test....................... 23 s
17e4.A parametric test for equal concentrations and mean directions: the Watson-Williams Test.................. 236
17f. Comparing three or more groups of 2-dimensional data.. .....................................................
...... ....... - 237
_______________........................................................................ 237
17fl.Nonparametric testing: multigroup extension of Mardia s Uniform Scores Test..
17f2.Parametric test for equal concentrations mean directions: multigroup Watson-Williams Test............ 237
17g. Introduction to 3-dimensional Orientation Data..
17f2.Parametric test for equal concentrations mean directions: multigroup Watson-Williams Test-
Introduction to 3-dimensional Orientation Data................................................................................... 238
17h. Describing distributions of 3-dimensional orientation data..................................................................... 240
17hl.Displaying and interpreting spherical data graphically................................................................... 240
17h2.Spherical data distributions......................................................................................................240
17h3.Summarising real distributions of spherical data: Vector Means and Confidence Cones.......................241
17i. Testing for uniformity versus preferred orientation ¦ ~
..........................................................................................................240
17h3.Summarising real distributions of spherical data: Vector Means and Confidence Cones.......................241
Testing for uniformity versus preferred orientation in 3-D orientation data................................................ 241
17j. Comparing two groups of 3-dimensional orientation data
v , _ __- _ _____..„.u..ui V/11V.I1U1UU11 uaia..................................................................... 243
17jl.Testing for equality of two concentrations........................................... ° 1
,i;r, t—.--_ j-or equaijty of tw0 mean ¿irections
or more groups of 3-dimensional
ZÎT ^or more concentrati^ ™ homog¡neous.:.::.::.:
whether thre« or more mean directions are homogeneous................ZZZIZIZ 244
SECTION VI: ADVANCED TECHNIQUES
Introduction................
A Note on Matrix Algebra...................................................................................................... 24
19bl.Mulüple Linear Regressioni.................................................................................................. 253
gMr^ePWÌSe Multiple Reg«ssion................................................................................................ 253
^.......................s
:............
sis.....
................................................................ 263
............................... 263
............... 264
20c.F,ttinePlan;e~;Tc.:i!lI1OaS-:..............................:... ~ —^O1 ^iuhbüUR ANALYSIS........... 266
............. 267
............................... 269
................................. 271
Semi-variograms................ 272
..................................... 273
XI
TOPIC 21. CLASSIFYING OBJECTS FROM FIRST PRINCIPLES
2la.Measuring similarity and dissimilarity between multivariate objects: MATCHING AND
DISTANCE COEFFICIENTS........................................................................................................ 275
21al.Measuring similarity between dichotomous/nominal data: MATCHING COEFFICIENTS................. 276
21a2.Measuring similarity between ordinal to ratio data: DISTANCE COEFFICIENTS........................... 278
21b.Producing Dendrograms: HIERARCHICAL CLUSTER ANALYSIS...................................................... 281
21bl.An Overview of Available Methods.......................................................................................... 281
21b2.Divisive cluster analysis on dichotomous/nominal data: ASSOCIATION ANALYSIS...................... 292
21c.Defining Discrete/Fuzzy Clusters: NON-HIERARCHICAL CLUSTER ANALYSIS.................................. 292
21c l./f-means Cluster Analysis....................................................................................................... 293
21c2.The Refined, Iterative K-means Method..................................................................................... 295
21d.Displaying groupings in as few dimensions as possible: ORDINATION.................................................. 296
21dl.Metric and Nonmetric MultiDimensional Scaling (MDS).............................................................. 296
21d2.Principal Coordinates Analysis................................................................................................ 300
21d3.Non-linear mapping (NLM)..................................................................................................... 302
2 Id4.Quadratic Loss Functions........................................................................................................ 302
TOPIC 22. COMPARING KNOWNS1 AND ASSIGNING UNKNOWNS :
Discriminant Analysis and related methods
22a. Introduction................................................................................................................................. 304
22b.Comparing Two or more Groups of Multivariate Data: DISCRIMINANT ANALYSIS............................... 304
22b 1.Two-group Parametric Discriminant Analysis............................................................................. 307
22b2.Multi-group Discriminant (Canonical Variate) Analysis (MDA)..................................................... 309
22c.Comparing Groups of Multivariate Dichotomous Data: ADAPTIVE PATTERN RECOGNITION............... 312
TOPIC 23. EXAMINING STRUCTURE, RECOGNIZING PATTERNS REDUCING THE
DIMENSIONALITY OF MULTIVARIATE DATA
23a. Graphical Methods of Displaying Multivariate Data in Two-Dimensions................................................ 314
23b. Finding Structure in Multivariate Data: PRINCIPAL COMPONENTS ANALYSIS................................. 315
23c. Fitting Multivariate Data to a Model: FACTOR ANALYSIS............................................................... 318
23cl.Looking for Geological Conlrol over Data Variations: R-MODE FACTOR ANALYSIS.................... 320
23c2.Analyzing Series and Mixtures in Terms of End-members: Q-MODE FACTOR ANALYSIS.............. 326
23c3Pattern Recognition by Combining Q- and R-modes: CORRESPONDENCE ANALYSIS................ 327
23d. Epilogue: the Statistical Zap versus the Shotgun1 Approach............................................................... 328
Selective Bibliography..............................................................................................................329
Glossary and Index.....................................................................................................................379
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| discipline | Geologie / Paläontologie Geographie |
| format | Book |
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| id | DE-604.BV000876647 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T15:20:53Z |
| institution | BVB |
| isbn | 3540500707 0387500707 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-000550336 |
| oclc_num | 18221131 |
| open_access_boolean | |
| owner | DE-12 DE-384 DE-20 DE-29 DE-83 DE-188 |
| owner_facet | DE-12 DE-384 DE-20 DE-29 DE-83 DE-188 |
| physical | XI, 427 S. zahlr. graph. Darst. |
| publishDate | 1988 |
| publishDateSearch | 1988 |
| publishDateSort | 1988 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in earth sciences |
| series2 | Lecture notes in earth sciences |
| spelling | Rock, Nicholas M. S. Verfasser (DE-588)112041647 aut Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics N. M. S. Rock Berlin u.a. Springer 1988 XI, 427 S. zahlr. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in earth sciences 18 Literaturverz. S. 330 - 378 Géologie - Informatique Géologie - Méthodes statistiques Datenverarbeitung Geologie Geology Data processing Geology Statistical methods Geologie (DE-588)4020227-6 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Numerisches Verfahren (DE-588)4128130-5 gnd rswk-swf Geologie (DE-588)4020227-6 s Numerisches Verfahren (DE-588)4128130-5 s DE-604 Datenverarbeitung (DE-588)4011152-0 s Lecture notes in earth sciences 18 (DE-604)BV023550940 18 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=000550336&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Rock, Nicholas M. S. Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics Lecture notes in earth sciences Géologie - Informatique Géologie - Méthodes statistiques Datenverarbeitung Geologie Geology Data processing Geology Statistical methods Geologie (DE-588)4020227-6 gnd Datenverarbeitung (DE-588)4011152-0 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| subject_GND | (DE-588)4020227-6 (DE-588)4011152-0 (DE-588)4128130-5 |
| title | Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics |
| title_auth | Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics |
| title_exact_search | Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics |
| title_full | Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics N. M. S. Rock |
| title_fullStr | Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics N. M. S. Rock |
| title_full_unstemmed | Numerical geology a source guide, glossary and selective bibliography to geological uses of computers and statistics N. M. S. Rock |
| title_short | Numerical geology |
| title_sort | numerical geology a source guide glossary and selective bibliography to geological uses of computers and statistics |
| title_sub | a source guide, glossary and selective bibliography to geological uses of computers and statistics |
| topic | Géologie - Informatique Géologie - Méthodes statistiques Datenverarbeitung Geologie Geology Data processing Geology Statistical methods Geologie (DE-588)4020227-6 gnd Datenverarbeitung (DE-588)4011152-0 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| topic_facet | Géologie - Informatique Géologie - Méthodes statistiques Datenverarbeitung Geologie Geology Data processing Geology Statistical methods Numerisches Verfahren |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=000550336&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV023550940 |
| work_keys_str_mv | AT rocknicholasms numericalgeologyasourceguideglossaryandselectivebibliographytogeologicalusesofcomputersandstatistics |