Phone:: (023) 8059 3808
Email:: D.J.Martin@soton.ac.uk

Professor David Martin

Professor of Geography, Deputy Director of the ADRC-E,Research Group Leader

Related links

Professor David Martin is Professor of Geography within Geography and Environmental Science at the University of Southampton.

Web of Science ResearcherID: J-7192-2012

Twitter: @GeogDave

David has been a member of staff in Geography and Environmental Science at the University of Southampton since 1992. He has served as Head of Department and leader of the Population, Health and Wellbeing research group. He was Coordinator of ESRC's Census Programme from 2002 - 12 and is currently involved in the leadership of three major ESRC initiatives: the UK Data Service, the Administrative Data Research Centre for England and the National Centre for Research Methods. From 2010 - 2016 he was a member of ESRC Council.

Qualifications
B.Sc. (Geography) Bristol 1986
Ph.D. (GIS/Planning) Wales 1989
FRGS 1995
FAcSS 2012

Employment
1989 - 1991 University of Wales, Cardiff
1992 - present University of Southampton (Professor since 2000)

Research

Responsibilities

Publications

Teaching

Contact

Research

Responsibilities

Publications

Teaching

Contact

Research interests

David's core research interests concern the modelling of population in geographical information systems, particularly with regard to census and health applications. He has long standing interests in gridded population mapping, automated zone design, health care accessibility and, more recently, time-space population modelling. He is an expert in georeferencing and modelling small area ppulation data and devised the current system of Output Areas used for the publication of 2001 and 2011 census output data in England and Wales, subsequently developed into 2001-based Super Output Areas and 2011 Workplace Zones. Most recently, he has been involved in work on future population data collection systems, particularly the use of administrative data both as a means of estimating population characteristics and as a research resource. Several of his projects have yielded new software tools and web resources which are linked from the various specific project sites.

Research Projects

Deputy Director of the UK Data Service
http://www.ukdataservice.ac.uk

Co-Director ESRC National Centre for Research Methods
http://www.ncrm.ac.uk

Deputy Director of the Administrative Data Research Centre for England
http://www.adrn.ac.uk/centres/England

PI of ESRC ReStore repository project
http://www.restore.ac.uk

Population 24/7 modelling project

http://www.researchcatalogue.esrc.ac.uk/grants/RES-062-23-1811/read

AZTool automated zone design software
http://www.geodata.soton.ac.uk/softward/AZTool/

Research group

Population, Health and Wellbeing (PHeW)

Affiliate research group

Administrative Data Research Centre for England

Research project(s)

Census2011Geog

Population Health theme

Spatial Population Analysis and Modelling theme

Geo-Refer

ReStore-Sustaining Online Resources

Workplace Zones

The output areas used to publish data from the UK Census have traditionally been designed based on the locations of residential addresses. The geographical distributions of residential and workplace locations are, however, very different: in city centres, for example, there are often few residential properties but many workplaces, whereas in suburban areas there may be many residential properties but few workplaces. The publication of workplace data by residential geographies therefore presents significant challenges to researchers and practitioners for two key reasons: (i) it can cause some workplace-related data to not be released at all due to confidentiality concerns (as happened for the 2001 Census) and (ii) the residence-based zones are often not an appropriate statistical or geographical base for mapping or analysing workplace-related data.

Director of the MSc in Geographical Information Systems (online)

Roles
David is Deputy Director of both the ESRC UK Data Service and Administrative Data Research Centre for England and a Co-Director of the ESRC National Centre for Research Methods.

Articles

Foley, B., Shuttleworth, I., & Martin, D. (2018). Administrative data quality: Investigating record-level address accuracy in the Northern Ireland Health Register. Journal of Official Statistics, 34(1), 55-81. DOI: 10.1515/jos-2018-0004
Martin, D., Gale, C. G., Cockings, S., & Harfoot, A. (2018). Origin-destination geodemographics for analysis of travel to work flows. Computers, Environment and Urban Systems, 67, 68-79. DOI: 10.1016/j.compenvurbsys.2017.09.002
Wilding, S., Moon, G., & Martin, D. (2018). Place and preference effects on the association between mental health and internal migration within Great Britain. Health & Place, 52, 180-187. DOI: 10.1016/j.healthplace.2018.06.008
Renner, K., Schneiderbauer, S., Pruß, F., Kofler, C., Martin, D., & Cockings, S. (2018). Spatio-temporal population modelling as improved exposure information for risk assessments tested in the Autonomous Province of Bolzano. International Journal of Disaster Risk Reduction, 27, 470-479. DOI: 10.1016/j.ijdrr.2017.11.011
Wilding, S., Martin, D., & Moon, G. (2017). How far is a long distance? An assessment of the issue of scale in the relationship between limiting long term illness and long distance migration in England and Wales. Population, Space and Place. DOI: 10.1002/psp.2090
Gray, B., Weal, M. J., & Martin, D. (2017). Social media during multi-hazard disasters: Lessons from the Kaikoura Earthquake 2016. International Journal of Safety and Security Engineering, 7(3), 313-323. DOI: 10.2495/SAFE-V7-N3-313-323
Shuttleworth, I., & Martin, D. (2016). People and places: understanding geographical accuracy in administrative data from the census and healthcare systems. Environment and Planning A, 48(3), 594-610. DOI: 10.1177/0308518X15618205
Wilding, S., Martin, D., & Moon, G. (2016). The impact of limiting long term illness on internal migration in England and Wales: New evidence from census microdata. Social Science & Medicine, 167, 107-115. DOI: 10.1016/j.socscimed.2016.08.046
Smith, A. D., Newing, A., Quinn, N., Martin, D., Cockings, S., & Neal, J. C. (2015). Assessing the impact of seasonal population fluctuation on regional flood risk management. International Journal of Geo-Information, 4(3), 1118-1141. DOI: 10.3390/ijgi4031118
Martin, D., Cockings, S., & Leung, S. (2015). Developing a flexible framework for spatiotemporal population modeling. Annals of the Association of American Geographers, 105(4), 754-772. DOI: 10.1080/00045608.2015.1022089
Turner, G., Sturgis, P., & Martin, D. (2015). Empirical indicators of survey satisfying: do they measure what we think they do? Journal of Survey Statistics and Methodology, 3(1), 89-108. DOI: 10.1093/jssam/smu022
Alahmadi, M., Atkinson, P., & Martin, D. (2015). Fine spatial resolution residential land-use data for small-area population mapping: a case study in Riyadh, Saudi Arabia. International Journal of Remote Sensing, 36(17), 4315-4331. DOI: 10.1080/01431161.2015.1079666
Byatt, D., Luff, R., & Martin, D. (2015). We can do more for you! Librarians can work as part of your research team: working with the National Centre for Research Methods. University of Southampton Library Blog.
Alahmadi, M., Atkinson, P. M., & Martin, D. (2014). A comparison of small-area population estimation techniques using built-area and height data, Riyadh, Saudi Arabia. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-11. DOI: 10.1109/JSTARS.2014.2374175
Smith, A., Martin, D. J., & Cockings, S. (2014). Spatio-temporal population modelling for enhanced assessment of urban exposure to flood risk. Applied Spatial Analysis and Policy, 9(2), 145-163. DOI: 10.1007/s12061-014-9110-6
Martin, D., Cockings, S., & Harfoot, A. (2013). Development of a geographical framework for Census workplace data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 176(2), 585-602. DOI: 10.1111/j.1467-985X.2012.01054.x
Al-Ahmadi, M., Atkinson, P., & Martin, D. (2013). Estimating the spatial distribution of the population of Riyadh, Saudi Arabia using remotely sensed built land cover and height data. Computers, Environment and Urban Systems, 41, 167-176. DOI: 10.1016/j.compenvurbsys.2013.06.002
Cockings, S., Harfoot, A., Martin, D., & Hornby, D. (2013). Getting the foundations right: spatial building blocks for official population statistics. Environment and Planning A, 45(6), 1403-1420. DOI: 10.1068/a45276
Martin, D. (2011). Directions in population GIS. Geography Compass, 5(9), 655-665. DOI: 10.1111/j.1749-8198.2011.00440.x
Martin, D., Lloyd, C., & Shuttleworth, I. (2011). Evaluation of gridded population models using 2001 Northern Ireland Census data. Environment and Planning A, 43(8), 1965-1980. DOI: 10.1068/a43485
Shuttleworth, I., Lloyd, C., & Martin, D. (2011). Exploring the implications of changing census output geographies for the measurement of residential segregation: the example of Northern Ireland 1991-2001. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174(1), 1-16. DOI: 10.1111/j.1467-985X.2010.00647.x
Cockings, S., Harfoot, A., Martin, D., & Hornby, D. (2011). Maintaining existing zoning systems using automated zone design techniques: methods for creating the 2011 Census output geographies for England and Wales. Environment and Planning A, 43(10), 2399-2418. DOI: 10.1068/a43601
Turnbull, J., Pope, C., Martin, D., & Lattimer, V. (2011). Management of out-of-hours calls by a general practice cooperative: a geographical analysis of telephone access and consultation. Family Practice, 28(6), 677-682. DOI: 10.1093/fampra/cmr029
Mansour, S., Martin, D. J., & Wright, J. (2011). Problems of spatial linkage of a geo-referenced demographic and health survey (DHS) dataset to a population census: A case study of Egypt. Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2011.04.001
Turnbull, J., Pope, C., Martin, D., & Lattimer, V. (2010). Do telephones overcome geographical barriers to general practice out-of-hours services? Mixed methods study of parents with young children. Journal of Health Services Research & Policy, 15(1), 21-27. DOI: 10.1258/jhsrp.2009.009023
Martin, D. (2010). Review. "Planning the night-time city" by M Roberts and A Eldridge. Environment and Planning B: Planning and Design, 37(3), 571-572. DOI: 10.1068/b3703rvw
Samarasundera, E., Martin, D., Saxena, S., & Majeed, A. (2010). Socio-demographic data sources for monitoring locality health profiles and geographical planning of primary health care in the UK. Primary Health Care Research & Development, 11(4), 287-300. DOI: 10.1017/S146342360999048X
Martin, D. (2010). Understanding the social geography of census undercount. Environment and Planning A, 42(11), 2753-2770. DOI: 10.1068/a43123
Wright, J., Treves, R., & Martin, D. (2009). Challenges in the reuse of learning materials: technical lessons from the delivery of an online GIS MSc module. Journal of Geography in Higher Education, 33(S1), S78-S87. DOI: 10.1080/03098260903034061
Martin, D., & Wright, J. A. (2009). Disease prevalence in the English population: a comparison of primary care registers and prevalence models. Social Science & Medicine, 68(2), 266-274. DOI: 10.1016/j.socscimed.2008.10.021
Young, C., Martin, D., & Skinner, C. (2009). Geographically intelligent disclosure control for flexible aggregation of census data. International Journal of Geographical Information Science, 23(4), 457-482. DOI: 10.1080/13658810801949835
Khan, A., Martin, D., & Seale, J. (2009). Sustaining online research resources. SCRIPTed - Journal of Law & Technology, 6(3), 616. DOI: 10.2966/scrip.060309.616
Turnbull, J., Martin, D., Lattimer, V., Pope, C., & Culliford, D. J. (2008). Does distance matter? Geographical variation in GP out-of-hours service use: an observational study. British Journal of General Practice, 58(552), 471-477. DOI: 10.3399/bjgp08X319431
Martin, D., Jordan, H., & Roderick, P. (2008). Taking the bus: incorporating public transport timetable data into health care accessibility modelling. Environment and Planning A, 40(10), 2510-2525. DOI: 10.1068/a4024
Martin, D. J. (2007). Editorial. Census: present and future. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170(2), 263-266. DOI: 10.1111/j.1467-985X.2007.00470.x
Martin, D., & Treves, R. (2007). Embedding e-learning in geographical practice. British Journal of Educational Technology, 38(5), 773-783. DOI: 10.1111/j.1467-8535.2007.00759.x
Martin, D. (2006). Last of the censuses? The future of small area population data. Transactions of the Institute of British Geographers, 31(1), 6-18. DOI: 10.1111/j.1475-5661.2006.00189.x
Wright, J., Martin, D., Cockings, S., & Polack, C. (2006). Overall QOF scores lower in practices in deprived areas. British Journal of General Practice, 56(525), 277-279.
Martin, D. (2005). Review: Martin on Boyle, Curtis, Graham, Moore (Eds): The geography of health inequalities in the developed world: views from Britain and North America. Environment and Planning B: Planning and Design, 31(6), 939-940.
Martin, D. (2005). Socioeconomic geocomputation and e-social science. Transactions in GIS, 9(1), 1-3. DOI: 10.1111/j.1467-9671.2005.00201.x
Cockings, S., & Martin, D. (2005). Zone design for environment and health studies using pre-aggregated data. Social Science & Medicine, 60(12), 2729-2742. DOI: 10.1016/j.socscimed.2004.11.005
Martin, D. (2004). Neighbourhoods and area statistics in the post 2001 Census era. Area, 36(2), 136-145. DOI: 10.1111/j.0004-0894.2004.00210.x
Tranmer, M., Pickles, A., Fieldhouse, E., Elliot, M., Dale, A., Brown, M., ... Gardiner, C. (2004). The case for small area microdata. Journal of the Royal Statistical Society: Series A (Statistics in Society), 168(1), 29-49. DOI: 10.1111/j.1467-985X.2004.00334.x
Martin, D. (2003). Extending the automated zoning procedure to reconcile incompatible zoning systems. International Journal of Geographical Information Science, 17(2), 181-196. DOI: 10.1080/713811750
Martin, D. (2002). Geography for the 2001 Census in England and Wales. Population Trends, 108, 7-15.
Martin, D., Wrigley, H., Barnett, S., & Roderick, P. (2002). Increasing the sophistication of access measurement in a rural healthcare study. Health & Place, 8(1), 3-13. DOI: 10.1016/S1353-8292(01)00031-4
Barnett, S., Roderick, P., Martin, D., Diamond, I., & Wrigley, H. (2002). The inter-relationships between three proxies of health care need at the small area level: an urban/rural comparison. Journal of Epidemiology and Community Health, 56(10), 754-761. DOI: 10.1136/jech.56.10.754
Wu, F., & Martin, D. (2002). Urban expansion simulation of Southeast England using population surface modelling and cellular automata. Environment and Planning A, 34(10), 1855-1876. DOI: 10.1068/a3520
Barnett, S., Roderick, P., Martin, D., & Diamond, I. (2001). A multilevel analysis of the effects of rurality and social deprivation on premature limiting long term illness. Journal of Epidemiology and Community Health, 55(1), 44-51. DOI: 10.1136/jech.55.1.44
Martin, D., & Atkinson, P. M. (2001). Investigating the spatial linkage of primary school performance and catchment characteristics. Geographical and Environmental Modelling, 5(1), 67-83.
Martin, D., Nolan, A., & Tranmer, M. (2001). The application of zone design methodology to the 2001 UK Census. Environment and Planning A, 33(11), 1949-1962. DOI: 10.1068/a3497
Roderick, P., Clements, S., Stone, N., Martin, D., & Diamond, I. (1999). What determines geographical variation in rates of acceptance onto renal replacement therapy in England? Journal of Health Services Research & Policy, 4(3), 139-146.
Martin, D., Roderick, P., Diamond, I., Clements, S., & Stone, N. (1998). Geographical aspects of the uptake of renal replacement therapy in England. International Journal of Population Geography, 4(3), 227-242.

Journal Special Issue

Gray, B., Weal, M. J., & Martin, D. (2016). Social media and disasters: Applying a new conceptual framework to the case of Storm Desmond. International Journal of Information Systems for Crisis Response and Management, 8(4).

Book

Rees, P., Mackay, L., Martin, D., & Durham, H. (Eds.) (2008). E-Learning for geographers: online materials, resources, and repositories. Hershey, USA: Information Science Reference.

Book Chapters

Martin, D., Cockings, S., & Leung, S. (2017). Finding and investigating geographical data online. In N. Fielding, R. Lee, & G. Blank (Eds.), The SAGE Handbook of Online Research Methods (2 ed., pp. 525-541). London: SAGE.
Martin, D., & Compton, G. (2017). The 2011 Census quality assurance process. In J. Stillwell (Ed.), The Routledge Handbook of Census Resources, Methods and Applications (pp. 54-69). (International Population Studies). Routledge.
Martin, D. (2016). Comparison of small area output geographies between countries. In B. Leventhal (Ed.), Geodemographics for Marketers: Using Location Analysis for Research and Marketing (pp. 157-161). Philadelphia, US: Kogan Page.
Turner, M., Sturgis, P., Martin, D., & Skinner, C. (2014). Can interviewer personality, attitudes and experience explain the design effect in face-to-face surveys? In U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, & P. Sturgis (Eds.), Improving Survey Methods: Lessons from Recent Research (European Association of Methodology Series). Abingdon, GB: Routledge.
Martin, D. (2009). Census mapping. In R. Kitchin, & N. Thrift (Eds.), International Encyclopedia of Human Geography (pp. 12-17). Kidlington, UK: Elsevier. DOI: 10.1016/B978-008044910-4.00013-4
Martin, D. (2009). The role of GIS. In A. S. Fotheringham, & P. A. Rogerson (Eds.), The SAGE Handbook of Spatial Analysis (pp. 25-40). London, UK: SAGE.
Martin, D., Rees, P., Durham, H., & Matthews, S. A. (2008). Census and population analysis. In P. Rees, L. MacKay, D. Martin, & H. Durham (Eds.), E-Learning for Geographers: Online Materials, Resources, and Repositories (pp. 53-75). Hershey, USA: Information Science Reference.
Rees, P., Mackay, L., Martin, D., Conole, G., & Davis, H. (2008). Developing e-learning in geography. In P. Rees, L. MacKay, D. Martin, & H. Durham (Eds.), E-Learning for Geographers: Online Materials, Resources, and Repositories (pp. 1-19). Hershey, USA: Information Science Reference.
Leung, S., Martin, D., Treves, R., & Duke-Williams, O. (2008). Exchanging e-learning materials, modules and students. In P. Rees, L. Mackay, D. Martin, & H. Durham (Eds.), E-Learning for Geographers: Online Materials, Resources, and Repositories (pp. 20-37). Hershey, USA: Information Science Reference.
Martin, D., Cockings, S., & Leung, S. (2008). Finding and investigating geographical data online. In N. Fielding, R. M. Lee, & G. Blank (Eds.), The SAGE Handbook of Online Research Methods (pp. 403-418). London, UK: SAGE.
Mackay, L., Martin, D., Rees, P., & Durham, H. (2008). Reflections, lessons learnt and conclusions. In P. Rees, L. MacKay, D. Martin, & H. Durham (Eds.), E-Learning for Geographers: Online Materials, Resources, and Repositories (pp. 236-243). Hershey, USA: Information Science Reference.
Treves, R., & Martin, D. (2008). Simple geography-related multimedia. In P. Rees, L. MacKay, D. Martin, & H. Durham (Eds.), E-Learning for Geographers: Online Materials, Resources, and Repositories (pp. 204-221). Hershey, USA: Information Science Reference.
Tate, N. J., Fisher, P. F., & Martin, D. J. (2007). Geographic information systems and surfaces. In J. Wilson, & A. S. Fotheringham (Eds.), The Handbook of Geographic Information Science (pp. 239-258). (Blackwell Companions to Geography). Oxford, UK: Blackwell.
Martin, D. J. (2007). Social data. In J. Wilson, & A. S. Fotheringham (Eds.), The Handbook of Geographical Information Science (pp. 35-48). (Blackwell Companions to Geography). Oxford, UK: Blackwell.

Conferences

Bennett, N., Millard, D., & Martin, D. (2018). Assessing Twitter geocoding resolution. In WebSci ’18, May 27–30, 2018, Amsterdam, Netherlands New York: ACM.
Robards, J., Gale, C., & Martin, D. (2017). Creating a synthetic spatial microdataset for zone design experiments using 2011 Census and linked administrative data. Paper presented at GIS Research UK Conference, Manchester, United Kingdom.
Khan, A., Tiropanis, T., & Martin, D. (2017). Crowd-annotation and LoD-based semantic indexing of content in multi-disciplinary web repositories to improve search results. In ACSW '17 Proceedings of the Australasian Computer Science Week Multiconference [53] ACM. DOI: 10.1145/3014812.3014867
Gray, B. J., Weal, M., & Martin, D. (2017). Social Media during a sustained period of crisis: The case of the UK Storms 2015-2016. Paper presented at 14th International Conference on Information Systems for Crisis Response and Management, Albi, France.
Gray, B., Weal, M. J., & Martin, D. (2017). Social media during multi-hazard disasters: Lessons from the Kaikoura Earthquake 2016. Paper presented at Disaster Management 2017, Seville, Spain.
Robards, J., Martin, D., & Gale, C. (2016). Automated zone design as an aid to effective anonymisation. New Approaches to Anonymisation, United Kingdom.
Robards, J., Martin, D., & Gale, C. (2016). Engineering geoprivacy using automated zone design. 7th ESRC Research Methods Festival, Bath, United Kingdom.
Khan, A., Tiropanis, T., & Martin, D. (2016). Exploiting semantic annotation of content with linked open data (LOD) to improve searching performance in web repositories of multi-disciplinary research data. 130-145. Paper presented at 9th Russian Summer School, RuSSIR 2015, Russian Federation.DOI: 10.1007/978-3-319-41718-9_7
Martin, D., Robards, J., & Gale, C. (2016). First steps in geographical zone design for disclosure control of record-level data. Geographical & Spatial Analysis - An ADRC Wales seminar with Professor David Martin & Professor Chris Brunsdon, United Kingdom.
Bennett, N., Millard, D., & Martin, D. (2016). Narrative extraction through the detection and characterisation of national and local events. In Proceedings of the 13th International Conference on Location Based Services (pp. 196-200). Vienna, AT: Vienna University of Technology.
Gray, B., Weal, M., & Martin, D. (2016). Social media and disasters: a new conceptual framework. Paper presented at Proceedings of the ISCRAM 2016 Conference, Brazil.
Robards, J., Martin, D., & Gale, C. (2016). Zone design for statistical disclosure control in administrative and linked microdata. 2016 British Society for Population Studies Conference, United Kingdom.
Robards, J., Martin, D., & Gale, C. (2016). Zone design for statistical disclosure control in administrative and linked microdata. 2016 International Population Data Linkage Conference, United Kingdom.
Martin, B., Martin, D., & Cockings, S. (2015). A spatiotemporal population subgroup model of radiation exposure. Paper presented at GISRUK 2015, United Kingdom.DOI: 10.6084/m9.figshare.1491375
Smith, A., Newing, A., Quinn, N., Martin, D., & Cockings, S. (2015). Assessing the impact of seasonal population fluctuation on regional flood risk management. Paper presented at GIS Research UK 2015, United Kingdom.
Khan, A., Tiropanis, T., & Martin, D. (2015). Exploiting semantic annotation of content with Linked Data to improve searching performance in web repositories. Poster session presented at 9th Russian Summer School in Information Retrieval (RuSSIR 2015), Russian Federation.
Smith, A., Martin, D., & Cockings, S. (2014). 24/7 population modelling for natural hazard assessment. Paper presented at Association of American Geographers Annual Meeting, United States.
Smith, A., Martin, D., & Cockings, S. (2013). 24/7 population modelling for enhanced assessment of exposure to natural hazards. Paper presented at GIS Research UK 2013, United Kingdom.
Smith, A., Martin, D., & Cockings, S. (2013). 24/7 population modelling for natural hazard assessment. Royal Geographical Society Annual International Conference, United Kingdom.
Khan, A., Martin, D. J., & Tiropanis, T. (2013). Using semantic indexing to improve searching performance in web archives. Paper presented at The First International Conference on Building and Exploring Web Based Environments (WEB2013), Spain.
Leung, S., Martin, D., & Cockings, S. (2010). Linking UK public geospatial data to build 24/7 space-time specific population surface models. Paper presented at GIScience 2010: Sixth international conference on Geographic Information Science, Switzerland.
Cockings, S., Martin, D., & Leung, S. (2010). Population 24/7: building space-time specific population surface models. In M. Hakley, J. Morley, & H. Rahemtulla (Eds.), Proceedings of the GIS Research UK 18th Annual Conference GISRUK 2010 (pp. 41-48). London, None: University College London.
Martin, D., Cockings, S., & Leung, S. (2010). Progress report: 24-hour gridded population models. European Forum for Geostatistics Conference, Estonia.
Martin, D., Cockings, S., & Leung, S. (2009). Population 24/7: building time-specific population grid models. European Forum for Geostatistics Conference, Netherlands.

Report

Luff, R., Byatt, D., & Martin, D. (2015). Review of the typology of research methods within the Social Sciences. Southampton, GB: University of Southampton.

Working Papers

Robards, J., Gale, C. G., & Martin, D. (2017). Creating a synthetic spatial microdataset for zone design experiments. (National Centre for Research Methods Working Papers; Vol. 17, No. 5). Southampton, UK: National Centre for Research Methods, School of Social Sciences, University of Southampton.
Young, C., Martin, D., & Skinner, C. (2007). Geographically intelligent disclosure control for flexible aggregation of census data. (S3RI Methodology Working Papers; No. M07/12). Southampton, GB: University of Southampton.

David is the convenor of a Masters-level module:
GEOG6091 Census and Neighbourhood Analysis

Professor David Martin
University of Southampton University Road Southampton SO17 1BJ

Room Number:44/2099

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