An Assessment of the Accuracy of Volunteered Road Map Production in Western Kenya

The introduction of web based mapping facilities that use satellite imagery, offers local people the possibility to map their environment. However, maps need to be accurate, which is the reason why map making is assigned to professionals. In this paper, we investigated the classification accuracy of road infrastructure from high resolution satellite imagery of an urban area in western Kenya achieved by surveyors and non-surveyors alike, with and without local knowledge. Those with local knowledge classified roads with over 92% accuracy on average, irrespective of surveying background. Professional surveyors and laymen without local knowledge achieved lower accuracies of 67.7% and 42.9% respectively. We argue that local knowledge is also likely to improve the classification accuracy of many other attributes featured in topographic maps and thus conclude that there is reason to consider engaging local expertise in the production and updating of topographic maps.

[1]  M. Thompson,et al.  Clumsy Solutions for a Complex World: Governance, Politics and Plural Perceptions , 2006 .

[2]  N. Burgess,et al.  The hippocampus and memory: insights from spatial processing , 2008, Nature Reviews Neuroscience.

[3]  Short Term Assessment of the June 1996 Flash‐floods in Yemen , 1999 .

[4]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[5]  David L. Tulloch Many, many maps: Empowerment and online participatory mapping , 2007, First Monday.

[6]  Giacomo Rambaldi,et al.  Participatory Spatial Information Management and Communication in Developing Countries , 2006, Electron. J. Inf. Syst. Dev. Ctries..

[7]  M. McCall,et al.  Assessing participatory GIS for community-based natural resource management: claiming community forests in Cameroon , 2005 .

[8]  Mark H. Moore,et al.  Innovations in governance , 2008 .

[9]  D. Boyd,et al.  Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors , 2006 .

[10]  V. Radeloff,et al.  Roads and Landscape Pattern in Northern Wisconsin Based on a Comparison of Four Road Data Sources , 2004 .

[11]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[12]  M. Dodge,et al.  The potential of Web-based mapping and virtual reality technologies for modelling urban environments , 1998 .

[13]  P. Pellikka CHANGE DETECTION OF INFORMAL SETTLEMENTS USING MULTI-TEMPORAL AERIAL PHOTOGRAPHS - THE CASE OF VOI, SE-KENYA , 2004 .

[14]  Gunnar Grendstad,et al.  Cultural Theory as Political Science , 1999 .

[15]  David Coleman,et al.  Volunteered Geographic Information: the nature and motivation of produsers , 2009, Int. J. Spatial Data Infrastructures Res..

[16]  P. Saariluoma,et al.  Taxi drivers’ exceptional memory of street names , 2001, Memory & cognition.