Mining climate data for shire level wheat yield predictions in Western Australia

............................................................................................................................ II DECLARATION ...................................................................................................................... IV ACKNOWLEDGMENTS .......................................................................................................... V LIST OF SUPPORTING PUBLICATIONS .............................................................................. VI TABLE OF CONTENTS ........................................................................................................ VII LIST OF FIGURES ................................................................................................................. XI LIST OF TABLES ................................................................................................................. XIII CHAPTER

[1]  R. Lyman Ott.,et al.  An introduction to statistical methods and data analysis , 1977 .

[2]  J. March Bounded rationality, ambiguity, and the engineering of choice , 1978 .

[3]  Jock R. Anderson Impacts of Climatic Variability in Australian Agriculture: A Review , 1979 .

[4]  J. Salas,et al.  A COMPARATIVE ANALYSIS OF TECHNIQUES FOR SPATIAL INTERPOLATION OF PRECIPITATION , 1985 .

[5]  B. Manly Multivariate Statistical Methods : A Primer , 1986 .

[6]  Allan Collins,et al.  Cognitive Apprenticeship and Instructional Technology , 1988 .

[7]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[8]  David Garlan,et al.  The role of formal reusable frameworks , 1990, Formal Methods in Software Development.

[9]  Gordon Miller,et al.  Decision Making: Descriptive, Normative, and Prescriptive Interactions , 1990 .

[10]  Aggregate food supply and famine early warning , 1991 .

[11]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[12]  A. Munot,et al.  Forecast of rainy season foodgrain production based on monsoon rainfall , 1992 .

[13]  Michael F. Young,et al.  Instructional design for situated learning , 1993 .

[14]  J. Porter,et al.  Climatic variability and the modelling of crop yields , 1995 .

[15]  M. Buchanan-Smith,et al.  Famine early warning and response: the missing link. , 1995 .

[16]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[17]  Evangelos Simoudis,et al.  An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications , 1996, KDD.

[18]  G. Hammer,et al.  A strategy for yield improvement of wheat which accommodates large genotype by environment interactions , 1996 .

[19]  Ralph Kimball,et al.  A dimensional modeling manifesto , 1997 .

[20]  R. Congalton Exploring and Evaluating the Consequences of Vector-to-Raster and Raster-to-Vector Conversion , 1997 .

[21]  Douglas C. Schmidt,et al.  Object-oriented application frameworks , 1997, CACM.

[22]  Sally Sieloff Magnan,et al.  Research Design: Qualitative and Quantitative Approaches , 1997 .

[23]  Sean Kelly Data Warehousing in Action , 1997 .

[24]  J. Morison,et al.  Effects of CO2 and temperature on growth and yield of crops of winter wheat over four seasons , 1997 .

[25]  R. Audi Epistemology: A Contemporary Introduction to the Theory of Knowledge , 1997 .

[26]  Daniel A. Keim,et al.  The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data , 1998, Proceedings Visualization '98 (Cat. No.98CB36276).

[27]  Jiawei Han,et al.  Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model , 1998, Data Knowl. Eng..

[28]  Dorian Pyle,et al.  Data Preparation for Data Mining , 1999 .

[29]  J. Stoorvogel,et al.  Pedology, precision agriculture, and the changing paradigm of agricultural research , 1999 .

[30]  H. Eakin SEASONAL CLIMATE FORECASTING AND THE RELEVANCE OF LOCAL KNOWLEDGE , 1999 .

[31]  Stefano Spaccapietra,et al.  Spatio-temporal conceptual models: data structures + space + time , 1999, GIS '99.

[32]  G. Holmes,et al.  Developing innovative applications in agriculture using data mining , 1999 .

[33]  Jan Herrington,et al.  An instructional design framework for authentic learning environments , 2000 .

[34]  John F. Roddick,et al.  An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research , 2000, TSDM.

[35]  David C. Yen,et al.  Data warehousing, technology assessment and management , 2000, Ind. Manag. Data Syst..

[36]  Heikki Mannila,et al.  Theoretical frameworks for data mining , 2000, SKDD.

[37]  R. Martin,et al.  Seasonal maize forecasting for South Africa and Zimbabwe derived from an agroclimatological model , 2000 .

[38]  Mickey Yost Data Warehousing and Decision Support at the National Agricultural Statistics Service , 2000 .

[39]  Locke M. Carter,et al.  Arguments in hypertext: a rhetorical approach , 2000, HYPERTEXT '00.

[40]  Deyi Li,et al.  LAND USE CLASSIFICATION OF REMOTE SENSING IMAGE WITH GIS DATA BASED ON SPATIAL DATA MINING TECHNIQUES , 2000 .

[41]  S. Cook,et al.  A decision support system for mapping the site-specific potassium requirement of wheat in the field , 2001 .

[42]  Michael Luck,et al.  A Conceptual Framework for Agent Definition and Development , 2001, Comput. J..

[43]  R. Shibasaki,et al.  National spatial crop yield simulation using GIS-based crop production model , 2001 .

[44]  W. Shadish,et al.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .

[45]  James W. Jones,et al.  Spatial validation of crop models for precision agriculture , 2001 .

[46]  B. Cullis,et al.  Applications: The Analysis of Crop Variety Evaluation Data in Australia , 2001 .

[47]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[48]  Petr Kuba,et al.  Data structures for spatial data mining , 2001 .

[49]  Siddhartha Bhattacharyya,et al.  Data mining on time series: an illustration using fast-food restaurant franchise data , 2001 .

[50]  R. Allan,et al.  Distribution and persistence of temporary wetland habitats in arid Australia in relation to climate , 2001 .

[51]  P. Jamieson,et al.  Simplifying Sirius: sensitivity analysis and development of a meta-model for wheat yield prediction , 2001 .

[52]  Zhigang Li,et al.  STIFF: A Forecasting Framework for SpatioTemporal Data , 2002, Revised Papers from MDM/KDD and PAKDD/KDMCD.

[53]  Nicolás Marín,et al.  Component-based data mining frameworks , 2002, CACM.

[54]  J. Lauer Soft ware SELECT ! : Crop Variety Selection Software for Microcomputers , 2002 .

[55]  Jonathan M. Chase,et al.  Spatial scale dictates the productivity–biodiversity relationship , 2002, Nature.

[56]  Michael R. Middleton,et al.  Information as a Resource , 2002 .

[57]  Jiawei Han,et al.  CLARANS: A Method for Clustering Objects for Spatial Data Mining , 2002, IEEE Trans. Knowl. Data Eng..

[58]  Ivanoe De Falco,et al.  An evolutionary approach for automatically extracting intelligible classification rules , 2005, Knowledge and Information Systems.

[59]  A. Challinor,et al.  Toward a combined seasonal weather and crop productivity forecasting system: determination of the working spatial scale , 2003 .

[60]  Limsoon Wong,et al.  DATA MINING TECHNIQUES , 2003 .

[61]  John Wang,et al.  Data Mining: Opportunities and Challenges , 2003 .

[62]  John Francis Kros,et al.  Data mining and the impact of missing data , 2003, Ind. Manag. Data Syst..

[63]  Zhilin Li,et al.  Raster space with relativity , 2003 .

[64]  Michael F. Worboys,et al.  GIS : a computing perspective , 2004 .

[65]  A. Pitman,et al.  Impact of land cover change on the climate of southwest Western Australia , 2004 .

[66]  J. Garbrecht,et al.  Downscaling Monthly Forecasts to Simulate Impacts of Climate Change on Soil Erosion and Wheat Production , 2004 .

[67]  Huan Liu,et al.  On Issues of Instance Selection , 2002, Data Mining and Knowledge Discovery.

[68]  Taneli Mielikäinen,et al.  An Automata Approach to Pattern Collections , 2004, KDID.

[69]  Rosa Maria Valdovinos,et al.  The Imbalanced Training Sample Problem: Under or over Sampling? , 2004, SSPR/SPR.

[70]  Errol C. Caby Data Mining Using SAS Applications , 2004, Technometrics.

[71]  T. Mitchison,et al.  A high-throughput cell migration assay using scratch wound healing, a comparison of image-based readout methods , 2004, BMC biotechnology.

[72]  Mohammed J. Zaki Mining Non-Redundant Association Rules , 2004, Data Min. Knowl. Discov..

[73]  Elisa Bertino,et al.  State-of-the-art in privacy preserving data mining , 2004, SGMD.

[74]  Chris Mellish,et al.  Advances in Instance Selection for Instance-Based Learning Algorithms , 2002, Data Mining and Knowledge Discovery.

[75]  T. Cloughesy,et al.  Upregulation of tissue inhibitor of metalloproteinases (TIMP)-2 promotes matrix metalloproteinase (MMP)-2 activation and cell invasion in a human glioblastoma cell line , 2004, Laboratory Investigation.

[76]  Ahsan Abdullah,et al.  The Case for an Agri Data Warehouse: Enabling Analytical Exploration of Integrated Agricultural Data , 2004, Databases and Applications.

[77]  C. Hoadley Methodological Alignment in Design-Based Research , 2004 .

[78]  Jacques Cohen,et al.  Bioinformatics—an introduction for computer scientists , 2004, CSUR.

[79]  Ryszard S. Michalski,et al.  LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning , 2004, Machine Learning.

[80]  Boris Kovalerchuk Decision process and its visual aspects , 2004 .

[81]  Food Security Agriculture Organization of the United Nations (FAO) , 2004 .

[82]  Guisseppi A. Forgionne,et al.  A multiple-criteria framework for evaluation of decision support systems , 2004 .

[83]  Daniel A. Keim,et al.  Pixel based visual data mining of geo-spatial data , 2004, Comput. Graph..

[84]  Edward J. Wegman,et al.  Statistical Software for Today and Tomorrow , 2005 .

[85]  Jiebo Luo,et al.  Data Mining. Multimedia, Soft Computing, and Bioinformatics , 2005, IEEE Transactions on Neural Networks.

[86]  Gennady L. Andrienko,et al.  Exploratory analysis of spatial and temporal data - a systematic approach , 2005 .

[87]  Duncan Dubugras Alcoba Ruiz,et al.  A data warehousing environment to monitor metrics in software development processes , 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

[88]  B. J. Oates,et al.  Researching Information Systems and Computing , 2005 .

[89]  H. Meinke,et al.  Three Putative Types of El Niño Revealed by Spatial Variability in Impact on Australian Wheat Yield , 2005 .

[90]  Jane Hunter,et al.  Generating eScience Workflows from Statistical Analysis of Prior Data , 2005 .

[91]  P. Cantelaube,et al.  Seasonal weather forecasts for crop yield modelling in Europe , 2005 .

[92]  E. Guba,et al.  Paradigmatic Controversies, Contradictions, and Emerging Confluences. , 2005 .

[93]  José María Carazo,et al.  Mining association rules from biological databases , 2005, J. Assoc. Inf. Sci. Technol..

[94]  Atish P. Sinha,et al.  A comparison of data warehousing methodologies , 2005, CACM.

[95]  Omar Boussaïd,et al.  An Architecture Framework for Complex Data Warehouses , 2007, ICEIS.

[96]  Bernard Ženko,et al.  Learning Predictive Clustering Rules , 2005, Informatica.

[97]  S. Krauss Research Paradigms and Meaning Making: A Primer , 2005 .

[98]  Josef Kittler,et al.  Combining classifiers: A theoretical framework , 1998, Pattern Analysis and Applications.

[99]  Barbara A. Kitchenham,et al.  Experiences of using an evaluation framework , 2005, Inf. Softw. Technol..

[100]  Francisco Herrera,et al.  On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining , 2006, Appl. Soft Comput..

[101]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[102]  M. Sivakumar,et al.  Climate prediction and agriculture: current status and future challenges , 2006 .

[103]  Gary Geunbae Lee,et al.  MMR-based Active Machine Learning for Bio Named Entity Recognition , 2006, NAACL.

[104]  Ronald D. Brunner A Paradigm for Practice , 2006 .

[105]  J. Hansen,et al.  Bias correction of daily GCM rainfall for crop simulation studies , 2006 .

[106]  K. Stahl,et al.  Comparison of approaches for spatial interpolation of daily air temperature in a large region with complex topography and highly variable station density , 2006 .

[107]  Salvatore Orlando,et al.  Fast and memory efficient mining of frequent closed itemsets , 2006, IEEE Transactions on Knowledge and Data Engineering.

[108]  N. Mackenzie,et al.  Research dilemmas: Paradigms, methods and methodology , 2006 .

[109]  S. Sathiya Keerthi,et al.  Parallel sequential minimal optimization for the training of support vector machines , 2006, IEEE Trans. Neural Networks.

[110]  V. Rao Vemuri,et al.  An application of principal component analysis to the detection and visualization of computer network attacks , 2006, Ann. des Télécommunications.

[111]  Kiyoshi Honda,et al.  Web GIS in practice IV: publishing your health maps and connecting to remote WMS sources using the Open Source UMN MapServer and DM Solutions MapLab , 2006, International journal of health geographics.

[112]  Hui Xiong,et al.  Hyperclique pattern discovery , 2006, Data Mining and Knowledge Discovery.

[113]  Jiuyong Li,et al.  On optimal rule discovery , 2006, IEEE Transactions on Knowledge and Data Engineering.

[114]  G. Metternicht,et al.  Testing the performance of spatial interpolation techniques for mapping soil properties , 2006 .

[115]  Heidrun Schumann,et al.  A framework for visual data mining of structures , 2006, ACSC.

[116]  T. Deressa Measuring the Economic Impact of Climate Change on Ethiopian Agriculture: Ricardian Approach , 2007 .

[117]  Dimitris Kanellopoulos,et al.  Data Preprocessing for Supervised Leaning , 2007 .

[118]  Omar Boussaïd,et al.  Integration and dimensional modeling approaches for complex data warehousing , 2007, J. Glob. Optim..

[119]  S. Bocchi,et al.  Identification of different potential production areas for corn in Italy through multitemporal yield map analysis , 2007 .

[120]  Chris L. S. Coryn The Holy Trinity of Methodological Rigor: A Skeptical View. , 2007 .

[121]  Chengqi Zhang,et al.  The Evolution of KDD: towards Domain-Driven Data Mining , 2007, Int. J. Pattern Recognit. Artif. Intell..

[122]  Cw Christian Günther,et al.  Towards an evaluation framework for process mining algorithms , 2007 .

[123]  N. Manouselis,et al.  LOM application profile to describe training resources for agricultural & rural SMEs , 2007 .

[124]  C. Field,et al.  Global scale climate–crop yield relationships and the impacts of recent warming , 2007, Environmental Research Letters.

[125]  M. Maliappis Technological Aspects of Using Agricultural Ontologies , 2007 .

[126]  Geoffrey Hellman Structuralism , 2007, The Oxford Handbook of Philosophy of Mathematics and Logic.

[127]  Roberto J. Bayardo,et al.  Scaling up all pairs similarity search , 2007, WWW '07.

[128]  Laurent Durieux,et al.  A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data , 2008 .

[129]  P. Prastacos,et al.  Development of an open source-based spatial data infrastructure , 2008 .

[130]  Michael H. Böhlen,et al.  Visual Data Mining - Theory, Techniques and Tools for Visual Analytics , 2008, Visual Data Mining.

[131]  Rudolf Kruse,et al.  Visualization of Agriculture Data Using Self-Organizing Maps , 2008, SGAI Conf..

[132]  Daniel A. Keim,et al.  Visual Analytics: Scope and Challenges , 2008, Visual Data Mining.

[133]  Lu Liu,et al.  Mining Condensed and Lossless Association Rules by Pruning Redundancy , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

[134]  F Guarneri,et al.  Digital image compression in dermatology: format comparison. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[135]  D. Stoyan,et al.  Statistical Analysis and Modelling of Spatial Point Patterns , 2008 .

[136]  R. Casa,et al.  Analysis of spatial relationships between soil and crop variables in a durum wheat field using a multivariate geostatistical approach , 2008 .

[137]  Steven J. Phillips Transferability, sample selection bias and background data in presence‐only modelling: a response to Peterson et al. (2007) , 2008 .

[138]  Michael F. Goodchild,et al.  Towards a General Field model and its order in GIS , 2008, Int. J. Geogr. Inf. Sci..

[139]  Matthew O. Ward,et al.  Theoretical Foundations of Information Visualization , 2008, Information Visualization.

[140]  Chen-Fu Chien,et al.  Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry , 2008, Expert Syst. Appl..

[141]  Xiang Zhang,et al.  CARE: Finding Local Linear Correlations in High Dimensional Data , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[142]  W. Schlenker,et al.  Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change , 2009, Proceedings of the National Academy of Sciences.

[143]  Bart Baesens Data mining: new trends, applications and challenges , 2009 .

[144]  N. Dunstan Hierarchies Of Sustainability In A Catchment , 2009 .

[145]  Yongliang Yang,et al.  Target discovery from data mining approaches. , 2009, Drug discovery today.

[146]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[147]  D. Pimentel Energy inputs in food crop production in developing and developed nations. , 2009 .

[148]  Thomas Leduc,et al.  GDMS-R: A mixed SQL to manage raster and vector data , 2009 .

[149]  Sumeet Dua,et al.  Data Mining for Bioinformatics , 2012 .

[150]  Kurt Hornik,et al.  Open-source machine learning: R meets Weka , 2009, Comput. Stat..

[151]  G. Ziervogel,et al.  Using climate information for supporting climate change adaptation in water resource management in South Africa , 2010 .

[152]  P. Revesz Interpolation and Approximation , 2010 .

[153]  Ig Ibert Bittencourt,et al.  An ontology-based software framework to provide educational data mining , 2010, SAC '10.

[154]  A. Ortmann,et al.  International NGO Training and Research Centre , 2010 .

[155]  Nicolás García-Pedrajas,et al.  Scaling up Instance Selection Algorithms by Dividing-and-Conquering , 2010 .

[156]  Murray Brand,et al.  Analysis avoidance techniques of malicious software , 2010 .

[157]  D. V. Gool Wheat yield potential and land management constraints in the South West of Western Australia , 2011 .

[158]  Wu Chuming Chen Bioinformatics for Comparative Proteomics , 2011, Methods in Molecular Biology.

[159]  T. S. Hasselbring,et al.  Anchored Instruction: Why We Need It and How Technology Can Help , 2012 .

[160]  Lili Luo Value of the Research Methods Course: Voices from LIS Practitioners , 2012 .

[161]  M. Farooqi DATA MINING : AN OVERVIEW , 2012 .

[162]  B. Tjan,et al.  The Perception of a Face Is No More Than the Sum of Its Parts , 2012, Psychological science.

[163]  อนิรุธ สืบสิงห์,et al.  Data Mining Practical Machine Learning Tools and Techniques , 2014 .