LEADER 01145nam0-22004211i-450- 001 990001126300403321 010 $a0-521-59916-4 035 $a000112630 035 $aFED01000112630 035 $a(Aleph)000112630FED01 035 $a000112630 100 $a20000920d1997----km-y0itay50------ba 101 0 $aeng 200 1 $aClifford algebras and spinors$fPertti Lounesto 210 $aCambridge (UK)$cCambridge University Press$dc1997 215 $aix, 306 p.$cill.$d23 cm 225 1 $aLondon Mathematical Society lecture note series$v239 610 0 $aAlgebre di clifford 610 0 $aSpinori 610 0 $aAnalisi lineare 610 0 $aAnalisi spinoriale 610 0 $aFunzioni di variabili ipercomplesse 676 $a512.57 700 1$aLounesto,$bPertti$054133 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001126300403321 952 $aMAI-15-001$b17108$fMA1 959 $aMA1 962 $a15A66 962 $a15-02 962 $a53A50 962 $a30G35 962 $a83C60 962 $a81R25 996 $aClifford algebras and spinors$978954 997 $aUNINA DB $aING01 LEADER 04258nam 2200733Ia 450 001 9910455633803321 005 20200520144314.0 010 $a1-280-45210-2 010 $a9786610452101 010 $a1-4593-0136-6 010 $a0-660-19256-X 035 $a(CKB)111087027747428 035 $a(EBL)228125 035 $a(OCoLC)251536709 035 $a(SSID)ssj0000260671 035 $a(PQKBManifestationID)11937427 035 $a(PQKBTitleCode)TC0000260671 035 $a(PQKBWorkID)10224591 035 $a(PQKB)10522631 035 $a(MiAaPQ)EBC228125 035 $a(Au-PeEL)EBL228125 035 $a(CaPaEBR)ebr10050747 035 $a(CaONFJC)MIL45210 035 $a(OCoLC)54830515 035 $a(EXLCZ)99111087027747428 100 $a20040405d2003 my 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aTowards sustainable management of the boreal forest$b[electronic resource] /$fedited by Philip J. Burton ... [et al.] 210 $aOttawa $cNRC Research Press$dc2003 215 $a1 online resource (1047 p.) 300 $aDescription based upon print version of record. 311 $a0-660-18762-0 327 $aContents; Acknowledgements; Chapter 1 The current state of boreal forestry and the drive for change; Chapter 2 Sustainability and sustainable forest management; Chapter 3 Just another stakeholder? First Nations and sustainable forest management in Canada's boreal forest; Chapter 4 Public involvement in sustainable boreal forest management; Chapter 5 Milltown revisited: strategies for assessing and enhancing forest-dependent community sustainability; Chapter 6 The economics of boreal forest management; Chapter 7 Designing institutions for sustainable forest management 327 $aChapter 8 A process approach to understanding disturbance and forest dynamics for sustainable forestry Chapter 9 Comparing forest management to natural processes; Chapter 10 Impacts of forest disturbance on boreal surface waters in Canada; Chapter 11 Forest management planning based on natural disturbance and forest dynamics; Chapter 12 Tactical forest planning and landscape design; Chapter 13 Nature-based silviculture for sustaining a variety of boreal forest values; Chapter 14 Modelling tools to assess the sustainability of forest management scenarios 327 $aChapter 15 Minimizing negative environmental impacts of forest harvesting operations Chapter 16 Residues generated by the forest products industry; Chapter 17 Forest industry aqueous effluents and the aquatic environment; Chapter 18 The fate, effects, and mitigation of atmospheric emissions from the forest products industry; Chapter 19 Reducing, reusing, and recycling solid wastes from wood fibre processing; Chapter 20 Carbon balance and climate change in boreal forests; Chapter 21 Adaptive management: progress and prospects for Canadian forests 327 $aChapter 22 Implementing sustainable forest management: some case studies Chapter 23 Sustainable forest management as license to think and to try something different; Index 330 $aA summary of the state-of-the-art in boreal forest management, this book provides a progressive vision for all of the world's northern forests. Top-notch forestry scientists and researchers author this selection of chapters based on recent research conducted by the Sustainable Forest Management Network across Canada. 606 $aTaigas$xManagement 606 $aTaigas$zCanada$xManagement 606 $aSustainable forestry 606 $aSustainable forestry$zCanada 606 $aForest management 606 $aForest management$zCanada 608 $aElectronic books. 615 0$aTaigas$xManagement. 615 0$aTaigas$xManagement. 615 0$aSustainable forestry. 615 0$aSustainable forestry 615 0$aForest management. 615 0$aForest management 676 $a333.75 676 $a634.9/2 701 $aBurton$b Philip Joseph$f1957-$0926103 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455633803321 996 $aTowards sustainable management of the boreal forest$92079215 997 $aUNINA LEADER 02840nam 2200673Ia 450 001 9910453658403321 005 20200520144314.0 010 $a1-135-90547-9 010 $a1-281-78696-9 010 $a9786611786960 010 $a0-203-89241-0 035 $a(CKB)1000000000539312 035 $a(EBL)356421 035 $a(OCoLC)476182088 035 $a(SSID)ssj0000220811 035 $a(PQKBManifestationID)11187526 035 $a(PQKBTitleCode)TC0000220811 035 $a(PQKBWorkID)10157062 035 $a(PQKB)11361285 035 $a(MiAaPQ)EBC356421 035 $a(Au-PeEL)EBL356421 035 $a(CaPaEBR)ebr10258427 035 $a(CaONFJC)MIL178696 035 $a(EXLCZ)991000000000539312 100 $a20080225d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Philippines$b[electronic resource] $emobilities, identities, globalization /$fJames A. Tyner 210 $aNew York $cRoutledge$d2009 215 $a1 online resource (248 p.) 225 1 $aGlobal realities 300 $aDescription based upon print version of record. 311 $a0-415-95807-5 311 $a0-415-95806-7 320 $aIncludes bibliographical references (p. [211]-223) and index. 327 $aBook Cover; Title; Copyright; Contents; Acknowledgments; Preface; Foreword; One Local Contexts, Distant Horizons; Two Manufacturing a Global Presence; Three Manila's Place in the World; Four Global-Philippines.Com; Five Performing Globalization; Six Beyond the Philippines; Notes; Bibliography; Index 330 $aNearly five million migrant workers from the Philippines are employed in over 190 countries and territories. They work as doctors and domestic helpers, engineers and entertainers, seamstresses and surveyors. It is through their collective labor that the Philippines has assumed a global presence. For over five centuries the Philippines has been integrated into the world economy. Only recently, however, has the Philippines been a pro-active agent in the production of a global economy. Since the 1970s the Philippine state, in connection with myriad private institutions, has recruited, t 410 0$aGlobal realities. 606 $aForeign workers, Philippine 606 $aContract labor$zPhilippines 606 $aGlobalization$zPhilippines 606 $aUrban poor$zPhilippines$zManila 608 $aElectronic books. 615 0$aForeign workers, Philippine. 615 0$aContract labor 615 0$aGlobalization 615 0$aUrban poor 676 $a331.6/2599 700 $aTyner$b James A.$f1966-$0888586 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453658403321 996 $aThe Philippines$92130493 997 $aUNINA LEADER 07376nam 22005053 450 001 9910148716503321 005 20230721043403.0 035 $a(CKB)3710000000918089 035 $a(MiAaPQ)EBC4731174 035 $a(Au-PeEL)EBL4731174 035 $a(CaPaEBR)ebr11293228 035 $a(CaONFJC)MIL966993 035 $a(OCoLC)961922723 035 $a(EXLCZ)993710000000918089 100 $a20210901d2009 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aElementary Statistics for Geographers, Third Edition 205 $a3rd ed. 210 1$aNew York :$cGuilford Publications,$d2009. 210 4$dİ2009. 215 $a1 online resource (669 pages) 311 08$a1-57230-484-7 311 08$a1-4625-3108-3 327 $aCover -- Half Title Page -- Title Page -- Copyright Page -- Preface -- Contents -- I. INTRODUCTION -- 1. Statistics and Geography -- 1.1. Statistical Analysis and Geography -- 1.2. Data -- 1.3. Measurement Evaluation -- 1.4. Data and Information -- 1.5. Summary -- II. DESCRIPTIVE STATISTICS -- 2. Displaying and Interpreting Data -- 2.1. Display and Interpretation of the Distributions of Qualitative Variables -- 2.2. Display and Interpretation of the Distributions of Quantitative Variables -- 2.3. Displaying and Interpreting Time-Series Data -- 2.4. Displaying and Interpreting Spatial Data -- 2.5. Summary -- 3. Describing Data with Statistics -- 3.1. Measures of Central Tendency -- 3.2. Measures of Dispersion -- 3.3. Higher Order Moments or Other Numerical Measures of the Characteristics of Distributions -- 3.4. Using Descriptive Statistics with Time-Series Data -- 3.5. Descriptive Statistics for Spatial Data -- 3.6. Summary -- Appendix 3a. Review of Sigma Notation -- Appendix 3b. An Iterative Algorithm for Determining the Weighted or Unweighted Euclidean Median -- 4. Statistical Relationships -- 4.1. Relationships and Dependence -- 4.2. Looking for Relationships in Graphs and Tables -- 4.3. Introduction to Correlation -- 4.4. Introduction to Regression -- 4.5. Temporal Autocorrelation -- 4.6. Summary -- Appendix 4a. Review of the Elementary Geometry of a Line -- Appendix 4b. Least Squares Solution via Elementary Calculus -- III. INFERENTIAL STATISTICS -- 5. Random Variables and Probability Distributions -- 5.1. Elementary Probability Theory -- 5.2. Concept of a Random Variable -- 5.3. Discrete Probability Distribution Models -- 5.4. Continuous Probability Distribution Models -- 5.5. Bivariate Random Variables -- 5.6. Summary -- Appendix 5a. Counting Rules for Computing Probabilities. 327 $aAppendix 5b. Expected Value and Variance of a Continuous Random Variable -- 6. Sampling -- 6.1. Why Do We Sample? -- 6.2. Steps in the Sampling Process -- 6.3. Types of Samples -- 6.4. Random Sampling and Related Probability Designs -- 6.5. Sampling Distributions -- 6.6. Geographic Sampling -- 6.7. Summary -- 7. Point and Interval Estimation -- 7.1. Statistical Estimation Procedures -- 7.2. Point Estimation -- 7.3. Interval Estimation -- 7.4. Sample Size Determination -- 7.5. Summary -- 8. One-Sample Hypothesis Testing -- 8.1. Key Steps in Classical Hypothesis Testing -- 8.2. PROB-VALUE Method of Hypothesis Testing -- 8.3. Hypothesis Tests Concerning the Population Mean ? and ? -- 8.4. Relationship between Hypothesis Testing and Confidence Interval Estimation -- 8.5. Statistical Significance versus Practical Significance -- 8.6. Summary -- 9. Two-Sample Hypothesis Testing -- 9.1. Difference of Means -- 9.2. Difference of Means for Paired Observations -- 9.3. Difference of Proportions -- 9.4. The Equality of Variances -- 9.5. Summary -- 10. Nonparametric Methods -- 10.1. Comparison of Parametric and Nonparametric Tests -- 10.2. One- and Two-Sample Tests -- 10.3. Multisample Kruskal-Wallis Test -- 10.4. Goodness-of-Fit Tests -- 10.5. Contingency Tables -- 10.6. Estimating a Probability Distribution: Kernel Estimates -- 10.7. Bootstrapping -- 10.8. Summary -- 11. Analysis of Variance -- 11.1. The One-Factor, Completely Randomized Design -- 11.2. The Two-Factor, Completely Randomized Design -- 11.3. Multiple Comparisons Using the Scheffe? Contrast -- 11.4. Assumptions of the Analysis of Variance -- 11.5. Summary -- Appendix 11a. Derivation of Equation 11-11 from Equation 11-10 -- 12. Inferential Aspects of Linear Regression -- 12.1. Overview of the Steps in a Regression Analysis -- 12.2. Assumptions of the Simple Linear Regression Model. 327 $a12.3. Inferences in Regression Analysis -- 12.4. Graphical Diagnostics for the Linear Regression Model -- 12.5. Summary -- 13. Extending Regression Analysis -- 13.1. Multiple Regression Analysis -- 13.2. Variable Transformations and the Shape of the Regression Function -- 13.3. Validating a Regression Model -- 13.4. Summary -- IV. PATTERNS IN SPACE AND TIME -- 14. Spatial Patterns and Relationships -- 14.1. Point Pattern Analysis -- 14.2. Spatial Autocorrelation -- 14.3. Local Indicators of Spatial Association -- 14.4. Regression Models with Spatially Autocorrelated Data -- 14.5. Geographically Weighted Regression -- 14.6. Summary -- 15. Time Series Analysis -- 15.1. Time Series Processes -- 15.2. Properties of Stochastic Processes -- 15.3. Types of Stochastic Processes -- 15.4. Removing Trends: Transformations to Stationarity -- 15.5. Model Identification -- 15.6. Model Fitting -- 15.7. Times Series Models, Running Means, and Filters -- 15.8. The Frequency Approach -- 15.9. Filter Design -- 15.10. Summary -- Appendix: Statistical Tables -- Index -- About the Authors. 330 $aWidely adopted, this uniquely comprehensive text introduces the techniques and concepts of statistics in human and physical geography. Unlike other texts that gloss over the conceptual foundations and focus solely on method, the book explains not only how to apply quantitative tools but also why and how they work. Students gain important skills for utilizing both conventional and spatial statistics in their own research, as well as for critically evaluating the work of others. Most chapters are self-contained in order to provide maximum flexibility in course design. Requiring no math beyond algebra, the book is well suited for undergraduate and beginning graduate-level courses. Helpful features include chapter summaries, suggestions for further reading, and practice problems at the end of each chapter.   New to This Edition *Restructured and updated to reflect current developments in the field. *Five entirely new chapters cover graphical methods, spatial relationships, analysis of variance, extending regression analysis, and spatial analysis. *Features even more worked examples, many with accompanying graphics. *The companion website offers datasets and solutions to selected end-of-chapter exercises. 606 $aGeography - Statistical methods 615 0$aGeography - Statistical methods. 676 $a519.502491 700 $aBurt$b James E$01237131 701 $aBarber$b Gerald M$01237132 701 $aRigby$b David L$0993263 701 $aBurt$b James E$01237131 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910148716503321 996 $aElementary Statistics for Geographers, Third Edition$92871989 997 $aUNINA