本文提出了一种方法来进行整合的目的评估中的数据集区域和位置的质量。该研究整合不同的方法来获得准确评估的有用说明。 NSSDA确实在产生的隆赛和Eastleign特征之间的位置精度比较措施均方根误差值的计算是有用的。第二步骤通过建立围绕线（道路）缓冲器在两个数据集是可分析由该考虑缓冲器区的相对均匀性简单的统计比较，测试源到参考源。此外，形状指标，如不变矩的多边形精度评价被作为很好的应用。
The paper presented a methodology to assess area and positional quality among data sets for integration purposes (Sui, 2008). The study integrated different methods for obtaining useful descriptions of accuracy assessment. NSSDA was indeed useful in calculation of RMSE values that yielded comparative measures for positional accuracy between Romsey and Eastleign features. The second procedure compared a tested source to a reference source by establishing buffers around the lines (roads) in both data sets which is analyzable by simple statistics that consider relative uniformity of the buffer zones. In addition, shape metrics such as the moment invariants were as well applied in evaluation of polygon accuracy (Haklay, 2008).
The results obtained in this study revealed that accuracy of OS data was closer to FS reference data set. On the other hand, the study revealed that completeness, positional and linage accuracy of the OSM data did not match the OS or the reference data set. Ordinance survey remains the oldest protocol, its current maps of the day depict long legacy having been the products of long survey and concurrent digitization. Maps of 1:2500 scales were treated with caution on county boundaries and the infill areas of the rural towns, modern day capture protocol e.g. the GPS would highlight areas of weaknesses for absolute accuracy though relative accuracy is good in most times, therefore the Ordinary survey is using the positional accuracy improvement to improve the overall quality of the rural maps thus giving an homogenous high standards.
This research is devoted to the contrast of accuracy in position of volunteered geographic data and proprietary geospatial information, using the case reading of German cities. On the one hand, bidimensional deterioration examination is applied for the purpose of evaluating the international geometries of the mold. Collection of low and high precisions is as well detected using local autocorrelation data. The results illustrate that both sets of data, TT and OSM, have a high accuracy in position and can be used for medium and small scale mapping relevance However, the bidimensional deterioration approximations shows highest connection between TT/OSM and their real position, but the TT set of data has less deformation than the OSM The G*-statistic outcome in some collection with low and high accuracy in position, interpretable as spatial similarity. Furthermore, OSM regions of high accuracy are mainly located in urban centers that have high population, leading to a conclusion that these regions are subject to a higher substantiation rate and as a result, faults are corrected more quickly compared to the rural regions. These results are similar to the ones reported by (Chen, 2010), where urban regions have a higher accuracy in terms of topology. Hence, future contrasts between rural and urban regions seem productive. This is majorly because rural areas are mapped with considerably less wholeness (Zielstra and Zipf, 2010) but the incredible growth of OSM information may shrink this discrepancy. There are, however, limitations to this investigation. TT as well as OSM show same spatial deformation, which brings up an issue taking into consideration whether the SD are affected by inaccuracy. Hence, future research is required in order to get confidence, mainly other reference sets of data and more case readings must be investigated on different scales.
