Linked to:
ARCLG117
Created:
03/07/2013 14:52:01
Last updated:
27/02/2014 12:18:02
  1. General introduction 15 items
    1. Course co-ordinator: Dr Mark Lake (mark.lake@ucl.ac.uk)

      • Postgraduate: option: 0.5 units
      • One term

       

      Course overview

      • The course aims to provide:
        • A working knowledge of sampling.
        • A working knowledge of basic spatial statistics and inference.
        • An introduction to the use of remote sensing imagery.

       

       

      Course information

      • For information about teaching methods, workloads, methods of assessment, examinations, coursework, communication, attendance and any special arrangements, see the course handbook

       

      Lectures listing  in order:

      1 Elementary statistics (i)

      2 Elementary statistics (ii)

      3 Analysing point patterns

      4 Analysing spatially continuous data

      5 Analysing area data

      6 Predicting location by multiple regression

      7 More multiple regression

      8 Spatially-weighted regression

      9 Introduction to remote sensing imagery

      10 Advanced use of remote sensing

       

       

    2. Introductory readings and online references

       

       

      • There are no books that cover the full range of material introduced in this course, so you are strongly encouraged to consult one or more works from each section of the course reading list.
      • The following are good general texts covering subject matter of the course. Please ask if you required further advice.

       

       

    3. Basic statistics (session 1)

    4. Geographical information systems in archaeology - Conolly, James, Lake, Mark 2006

      Book  CHAPTER 7

    5. Quantifying archaeology - Shennan, Stephen 1997

      Book 

    6. Sampling (session 2)

    7. Sampling in archaeology - Orton, Clive 2000

      Book 

    8. Spatial statistics (sessions 3-8)

    9. Interactive spatial data analysis - Bailey, Trevor C., Gatrell, Anthony C. 1995

      Book  CHAPTERS 3 AND 4

    10. Geographical information systems in archaeology - Conolly, James, Lake, Mark 2006

      Book  CHAPTER 7

    11. Local analysis - Fotheringham, A. Stewart et al. 2000

      Chapter  Digitised reading - pages 93-129

    12. Local models for spatial analysis - Lloyd, Christopher D. c2011

      Book  E-book 'Point patterns' pages 171-193

    13. Geographic information analysis - O'Sullivan, David, Unwin, D. c2003

      Book 

    14. Remote sensing (sessions 9 and 10)

  2. Lectures : Autumn Term

  3. Lecture 1: Monday 1st October - Elementary statistics 6 items
    Clive Orton
      • A (re)introduction to the basic concepts for those of you who somehow escaped them or need a little revision. The language and practice of statistics; inference and hypothesis testing.
      • Practical: How would you...? Design statistical tests to answer some archaeological questions.

    1. Essential reading

      Read one of the following:

    2. Statistics for archaeologists: a commonsense approach - Drennan, Robert D. 1996

      Book  2009 edition also available.

    3. Digging numbers: elementary statistics for archaeologists - Fletcher, Mike, Lock, G. R. 2005

      Book 

    4. Quantifying archaeology - Shennan, Stephen 1997

      Book 

  4. Lecture 2: Monday 8th October - Elementary statistics 1 item
    Clive Orton
    1. The role of sampling in archaeological practice, at scales from regional to microscopic.

       

      Sampling by design and sampling by accident.

       

      Quality of sampled data.

       

      Sampling for parameters and sampling for pattern.

       

      Conventional and modern sampling designs.

       

      Practical: Sampling in Oaxaca Valley: site densities and spatial patterns.

  5. Essential reading

  6. Sampling in archaeology - Orton, Clive 2000

    Book  CHAPTERS 1, 2 AND 4

  7. Other reading

  8. Fitzpatrick, A, "The structure of a distribution map: problems of sample bias and quantitative studies". in Rei Cretariae Romanae Fautorum acta., 25-6, In, 1987, pages 79-112. Note: ALTERNATIVE TITLE: '14TH CONGRESS OF RCRF'. [Held by Library]

     

    SEE BELOW

  9. Lecture 3: Monday 15th October Analysing point patterns 13 items
    Clive Orton
    1. Archaeological spatial data may be discrete (e.g. locations of sites in a region, or of artefacts on a site) or continuous (e.g. soil phosphate levels across a site). Different approaches apply to each.

       

      First we look at techniques for analysing point patterns (i.e. locational data) - quadrat and nearest-neighbour techniques and 'second-order' methods.

       

      Practical: Nearest-neighbour analysis of point-pattern data.

    2. Essential reading

    3. Interactive spatial data analysis - Bailey, Trevor C., Gatrell, Anthony C. 1995

      Book  CHAPTERS 3 AND 4

    4. Local models for spatial analysis - Lloyd, Christopher D. c2011

      Book  CHAPTER 7

    5. Geographic information analysis - O'Sullivan, David, Unwin, D. c2003

      Book  CHAPTERS 4 AND 5

    6. Other reading

    7. Intrasite spatial analysis in theory and practice - Blankholm, H. P. 1991

      Book 

    8. News and Short Contributions - A pragmatic approach of the nearest neighbour statistic - Stephen R. Durand, Lonnie C. Pippin, Dirk H. R. Spennemann 1992-22

      Article 

    9. Intrasite spatial analysis in theory and practice - Blankholm, H. P. 1991

      Book 

    10. Spatial analysis in archaeology - Hodder, Ian, Orton, Clive 1976

      Book 

  10. Lecture 4: Monday 22nd October Analysing spatially continuous data 8 items
    Clive Orton
      • We move onto techniques for analysing continuous data, which are often obtained by sampling at a series of points. Analysis is often made more difficult by the phenomenon of autocorrelation.
      • Kernel density estimation, kriging and Bayesian statistics.
      • Practical: Defining the edge of a 'site' using sampled data values.

    1. Essential reading

    2. Interactive spatial data analysis - Bailey, Trevor C., Gatrell, Anthony C. 1995

      Book  CHAPTERS 5 AND 6

    3. Local models for spatial analysis - Lloyd, Christopher D. c2011

      Book  CHAPTER 6

    4. Geographic information analysis - O'Sullivan, David, Unwin, D. c2003

      Book  CHAPTERS 2 AND 9

    5. Other reading

    6. Bayesian approach to interpreting archaeological data - Buck, Caitlin E., Cavanagh, William G., Litton, Clifford D. 1996

      Book  pages 253-291

  11. Lecture 5: Monday 29th October Analysing area data 7 items
    Clive Orton
      • Locational data are often collected by areas (e.g. metre squares on a site or field in a region).
      • How does this affect the way we analyse them?
      • Techniques for analysing 'area' data. Issues relating to the scale at which data are analysed.
      • Practical: Compare analyses of locational data by point and area- methods.

    1. Essential reading

    2. Interactive spatial data analysis - Bailey, Trevor C., Gatrell, Anthony C. 1995

      Book  CHAPTERS 7 AND 8

    3. Local models for spatial analysis - Lloyd, Christopher D. c2011

      Book  CHAPTER 4 AND 5

    4. Area objects and spatial autocorrelation - O'Sullivan, David, Unwin, D 2003

      Chapter  Digitised reading

    5. Other reading

  12. Lecture 6: Monday 12th November Predicting location by multiple regression 11 items
    Mark Lake
      • Introduction to statistical predictive modelling using linear logistic regression.
      • Practical: Preparation of data for construction of statistical predictive models.

    1. Essential reading

    2. Predictive modelling - Conolly, James, Lake, Mark 2006

      Chapter  pages 179-186

    3. A predictive model of archaeological site location in the eastern prairie peninsula - Warren, R.E., Asch, D.L. 2000

      Chapter  Digitised reading pages 5-32

    4. The use and abuse of statistical methods in archaeological site location modelling - Woodman, P.E., Woodward, M 2002

      Chapter  Digitised reading pages 22-27

    5. Other reading

    6. Session 3 discussion: comments on archaeological prediction - Kuna, M. 2000

      Chapter  Digitised reading pages 180-186

    7. Development and testing of quantitative models - Kvamme, K.L. 1988

      Chapter  pages 325-427

    8. Predictive modelling for archaeological heritage management: a research agenda - Kamermans, Hans, Leusen, Martijn van, Netherlands 2005

      Book  http://hdl.handle.net/1887/11863 SEE BELOW

    9. Click and sign in for e-dissertation

      http://hdl.handle.net/1887/11863

  13. Lecture 7: Monday 19th November More multiple regression 3 items
    Mark Lake
      • There will be no lecture this week, so please go straight to the AGIS lab, to begin the practical at 10:00 a.m.
      • Practical: Construction and evaluation of a statistical predictive model.

    1. Essential reading

    2. A predictive model for Mesolithic site location on Islay using logistic regression and GIS - Woodman, P.E. 2000

      Chapter  Digitised reading pages 445-464

  14. Lecture 8: Monday 26th November Spatially-weighted regression 5 items
    Andrew Bevan
      • An introduction to methods of regression that take account of the lack of independence among spatial phenomena.
      • Practical: Spatially weighted regression of an archaeological dataset.

    1. Essential reading

    2. Quantitative geography: perspectives on spatial data analysis - Fotheringham, A. Stewart, Brunsdon, Chris, Charlton, Martin c2000

      Book  CHAPTER 5

    3. Other reading

    4. Geographically weighted regression: the analysis of spatially varying relationships - Fotheringham, A. Stewart, Brunsdon, Chris, Charlton, Martin c2002

      Book 

  15. Lecture 9: Monday 3rd December Introduction to remote sensing imagery 5 items
    Andrew Bevan
      • What is remote sensing imagery? How is it created and whate are its uses?
      • Practical: supervised and unsupervised classification of data.

    1. Essential reading

    2. Books in AGIS Lab

    3. Please also consult the following text, which is available through the AGIS LAB only.

      Eastman, J.R. 'Introduction to remote sensing and image processing'. Idrisi for Windows: User's Guide, revision 5. Sections 3/1-3/18. 

      Eastman, J.R. 'Introduction to remote sensing and image processing'. Idrisi for Windows: User's Guide, revision 5. Sections 11/1-11/29.

  16. Lecture 10: Monday 10th December Advanced use of remote sensing 2 items
    Andrew Bevan
      • Introduction to advanced techniques of remote sensing.
      • Practical: data fusion techniques.

    1. Essential reading

      To be advised

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