Verfügbarkeit: Modelling human behaviour in landscapes

Modelling human behaviour in landscapes: basic concepts and modelling elements

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Bibliographische Detailangaben
Beteiligte Personen:	Nakoinz, Oliver 1969- (VerfasserIn), Knitter, Daniel (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	[Cham] Springer [2016]
Schriftenreihe:	Quantitative archaeology and archaeological modelling
Schlagwörter:	Social sciences Computer simulation Statistics Archaeology Social Sciences Simulation and Modeling Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Archäologie Sozialwissenschaften Statistik Landschaft Verhalten Verhaltensforschung Modellierung
Links:	https://doi.org/10.1007/978-3-319-29538-1 https://doi.org/10.1007/978-3-319-29538-1 https://doi.org/10.1007/978-3-319-29538-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028979885&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028979885&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XIX, 255 Seiten Illustrationen, Diagramme
ISBN:	9783319295381 9783319295367

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Datensatz im Suchindex

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adam_text	Contents 1 Introduction and Mathematics....... —.......... 1 1.1 Modelling in Archaeology and Geography...................... 1 L2 Two Cultures ............................................... 2 1.3 Data........................................................ 3 1.4 Source Criticism.......................................... 4 1.5 Key Terms .................................................. 6 1.5.1 Space................................................ 6 1.5.2 Landscape............................................ 9 1.5.3 Landscape Archaeology............................... 10 1.6 Mathematics................................................ 13 1.6.1 Logic and Sets —..........— ........................ 13 1.6.2 Linear Algebra ................................. 15 L 63 Graph Theory .................................... 16 1.6.4 Statistics and Stochastic ....................... 17 1.7 Problems.............................................. 19 References..................................................... 19 2 Theory of Modelling.............................................. 23 2.1 Models Are Everywhere ................................. 23 2.2 What Is a Model?..................................... 31 2.3 Types of Models...................................... 34 2.4 Usage of Models........................................ 37 2.5 Models Between Theory and Method........* —. —........... 37 2.6 Examples ....................................... —....... 38 2.7 Problems ................................................ 41 References..................................................... 42 3 Software........................................................ 45 3.1 Working with Command-Line Programs......................... 45 3.2 R ...................................................... 46 3.2.1 What Is R?........................................ 46 3.2.2 Using R........................................... 47 XV 52 58 65 65 67 67 68 70 72 73 75 77 81 83 84 85 87 87 87 89 92 97 97 99 100 103 104 107 107 116 117 125 126 126 129 129 131 135 144 145 146 3.2.3 Starting with a Script.................... 3.2.4 Helpful Functions, Techniques and Packages .. 3.3 Problems.......................................... References.............................................. Density................................................. 4.1 One-Dimensional Data.............................. 4.1.1 Histogram................................. 4.1.2 Density................................... 4.1.3 Distance Between Events .................. 4.1.4 Time Senes ............................... 4.2 Two-Dimensional Data.............................. 4.2.1 Kernel-B ased Density..................... 4.2.2 Distance-Based Density.................... 4.2.3 Decompositi on............................ 4.3 Problems.......................................... References.............................................. Regression and Interpolation............................ 5.1 Regression........................................ 5.1.1 The Concept of Regression ................ 5.1.2 Linear Models ............................ 5.1.3 Model Choice, Overfitting and Decomposition 5.2 Interpolation..................................... 5.2.1 The Concept of Interpolation ............. 5.2.2 Inverse Distance Weighting................ 5.2.3 Kxiging................................... 5.3 Problems.......................................... References.............................................. Location and Characterisation........................... 6.1 Characterising Locations.......................... 6.2 Predictive Modelling........................ — 6.2.1 Inductive Models ......___________________ 6.2.2 Deductive Models....... .................. 6.3 Problems-------------------. ------------------... References.............................................. Point Pattern........................................... 7.1 Point Processes .................................. 7.2 First-Order Properties............................ 7.3 Second-Order Properties........................... 7.4 Third-Order Properties .........,................. 7.5 Problems.......................................... References.............................................. Contents xvii 8 Boundaries .......................................................... 149 8.1 Borders and Territoriality................................... 149 8.2 Boundaries of Cultural Areas................................... 151 8.3 Empirical Boundary Models.................................... 153 8.4 Theoretical Boundary Models.................................. 162 8.5 Problems....................................................... 166 References........................................................... 167 9 Networks............................................................. 169 9.1 Networks and Transportation Systems.......................... 169 9.2 Supra-Regional Level .......................................... 171 9.3 Regional Level................................................. 172 9.4 Local Level................................................ 176 9.5 Characterising Elements in Networks and Networks............... 188 9.6 Problems....................................................... 189 References........................................................... 190 10 Interaction.......................................................... 193 10.1 Interaction ................................................. 193 10.1.1 Interaction as a Key Term............................. 193 10.1.2 Interaction in Different Disciplines.................. 194 10.1.3 Parameters of Interaction............................. 195 10.1.4 Measuring Interaction................................. 196 10.2 Empirical Interaction Models................................... 197 10.2.1 Indicators and Characterisations...................... 197 10.2.2 Distance Diagrams..................................... 198 10.3 Theoretical Interaction Models................................. 203 10.3.1 Distance Decay Functions.............................. 203 10.3.2 Gravity Models...................................... 207 10.4 Problems....................................................... 210 References......................................................... 211 11 Landscape Perception......................................- —........ 213 11.1 Changing the Point of View.............. — .................. 213 11.2 Sensual Perception .,........................................ 215 11.3 Cognitive Perception .............................-.......... 220 11.3.1 Fuzzy Categories ..................................... 221 1L 3.2 Cogmtive Maps ........................................ 223 11.4 Problems ................................................... 231 References........................................................ 231 12 Simulations.......................................................... 233 12.1 Definitions and Random Numbers ................................ 233 12.1.1 Definitions........................................... 233 12.1.2 Random Numbers ....................................... 235 12.2 Spatial Simulation Examples.................................... 237 12.2.1 Preliminary Considerations ........................... 237 xviti Contents 12.2.2 Point-Based Simulations.............................. 238 12.2.3 Grid-Based Simulations................................ 241 12.2.4 Agent-Based Modelling (ABM)............................ 244 12.3 Problems................................................... 251 References.......................................................... 252 Index.................................................................... 253 Modelling Human Behaviour in Landscapes ion. .seif (caching g *s shown ami the code is ¡riven. All pages, in winch u„ examples are computed with open source software, mainly R, and with archaeological 1 he book does not describe elaborated high-end models but rather verv basic model- ling concepts tl ¡at serve as com s. Ihe book enables the In addition it gives hints for the interpretation of the results. Students are usually quick to apply fancy methods yet fail in the proper interpretation due to a lack of understanding of the underlying principles. This problem is addressed by the proposed book through three concepts: • Command line software forces the students to first learn some details before they are able to produce results on their own. • ihe book is focused on principles and methods. When the students understand a few basic principles, they have lar better access to a wide range of related Ihe volume attempts to be an applied, minimaiistic and efficient textbook and is based upon several successful courses.
any_adam_object	1
author	Nakoinz, Oliver 1969- Knitter, Daniel
author_GND	(DE-588)1034896148 (DE-588)1050278216
author_facet	Nakoinz, Oliver 1969- Knitter, Daniel
author_role	aut aut
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author_variant	o n on d k dk
building	Verbundindex
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dewey-full	930.1
dewey-hundreds	900 - History & geography
dewey-ones	930 - History of ancient world to ca. 499
dewey-raw	930.1
dewey-search	930.1
dewey-sort	3930.1
dewey-tens	930 - History of ancient world to ca. 499
discipline	Informatik Geschichte Klassische Archäologie
format	Book
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spellingShingle	Nakoinz, Oliver 1969- Knitter, Daniel Modelling human behaviour in landscapes basic concepts and modelling elements Social sciences Computer simulation Statistics Archaeology Social Sciences Simulation and Modeling Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Archäologie Sozialwissenschaften Statistik Sozialwissenschaften (DE-588)4055916-6 gnd Landschaft (DE-588)4034343-1 gnd Verhalten (DE-588)4062860-7 gnd Archäologie (DE-588)4002827-6 gnd Verhaltensforschung (DE-588)4062862-0 gnd Modellierung (DE-588)4170297-9 gnd
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title	Modelling human behaviour in landscapes basic concepts and modelling elements
title_auth	Modelling human behaviour in landscapes basic concepts and modelling elements
title_exact_search	Modelling human behaviour in landscapes basic concepts and modelling elements
title_full	Modelling human behaviour in landscapes basic concepts and modelling elements Oliver Nakoinz, Daniel Knitter
title_fullStr	Modelling human behaviour in landscapes basic concepts and modelling elements Oliver Nakoinz, Daniel Knitter
title_full_unstemmed	Modelling human behaviour in landscapes basic concepts and modelling elements Oliver Nakoinz, Daniel Knitter
title_short	Modelling human behaviour in landscapes
title_sort	modelling human behaviour in landscapes basic concepts and modelling elements
title_sub	basic concepts and modelling elements
topic	Social sciences Computer simulation Statistics Archaeology Social Sciences Simulation and Modeling Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Archäologie Sozialwissenschaften Statistik Sozialwissenschaften (DE-588)4055916-6 gnd Landschaft (DE-588)4034343-1 gnd Verhalten (DE-588)4062860-7 gnd Archäologie (DE-588)4002827-6 gnd Verhaltensforschung (DE-588)4062862-0 gnd Modellierung (DE-588)4170297-9 gnd
topic_facet	Social sciences Computer simulation Statistics Archaeology Social Sciences Simulation and Modeling Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Archäologie Sozialwissenschaften Statistik Landschaft Verhalten Verhaltensforschung Modellierung
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