References
- Avelino, A. F. T., Baylis, K., & Honey-Rosés, J. (2016). Goldilocks and the raster grid: Selecting scale when evaluating conservation programs. PLoS ONE, 11(12), e0167945. https://doi.org/https://doi.org/10.1371/journal.pone.0167945
- Bai, Y., Liao, S. B., & Sun, J. L. (2011). Scale effect and methods for accuracy evaluation of attribute information loss in rasterization. Journal of Geographical Sciences, 21(6), 1089–1100. https://doi.org/https://doi.org/10.1007/s11442-011-0902-1
- Bettinger, P., Bradshaw, G. A., & Weaver, G. W. (1996). Effects of geographic information system vector-raster-vector data conversion on landscape indices. Canadian Journal of Forest Research, 26(8), 1416–1425. https://doi.org/https://doi.org/10.1139/x26-158
- Bondy, J. A., & Murty, U. S. R. (1976). Graph theory with applications. Elsevier.
- Bregt, A. K., Denneboom, J., Gesink, H. J., & Van Ranedn, Y. (1991). Determination of rasterizing error a case study with the soil map of the Netherlands. International Journal of Geographical Information Systems, 5(3), 361–367. https://doi.org/https://doi.org/10.1080/02693799108927861
- Bresenham, J. E. (1965). Algorithm for computer control of a digital plotter. IBM Systems Journal, 4(1), 25–30. https://doi.org/https://doi.org/10.1147/sj.41.0025
- Bribiesca, E. (1997). Measuring 2-D shape compactness using the contact perimeter. Computers & Mathematics with Applications, 33(11), 1–9. https://doi.org/https://doi.org/10.1016/S0898-1221(97)00082-5
- Carver, S. J., & Brunsdon, C. F. (1994). Vector to raster error and feature complexity: An empirical study using simulated data. International Journal of Geographical Information Systems, 8(3), 261–270. https://doi.org/https://doi.org/10.1080/02693799408901999
- Chen, J. J., Zhou, C. H., & Cheng, W. M. (2007). Area error analysis of vector to raster conversion of areal feature in GIS. Acta Geodaetica et Cartographica Sinica, 36(3), 344–350. http://en.cnki.com.cn/Article_en/CJFDTOTAL-CHXB200703019.htm
- Congalton, R. G. (1988). Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data. Photogrammetric Engineering and Remote Sensing, 54(5), 587–592. http://www.asprs.org/wp-content/uploads/pers/1988journal/may/1988_may_587-592.pdf
- Congalton, R. G. (1997). Exploring and evaluating the consequences of vector-to-raster and raster-to-vector conversion. Photogrammetric Engineering and Remote Sensing, 63(4), 425–434. http://www.asprs.org/wp-content/uploads/pers/1997journal/apr/1997_apr_425-434.pdf
- Dendoncker, N., Schmit, C., & Rounsevell, M. (2008). Exploring spatial data uncertainties in land‐use change scenarios. International Journal of Geographical Information Science, 22(9), 1013–1030. https://doi.org/https://doi.org/10.1080/13658810701812836
- Deng, Y., Liu, Y. X., & Fu, B. J. (2019). Urban growth simulation guided by ecological constraints in Beijing city: Methods and implications for spatial planning. Journal of Environmental Management, 243(1), 402–410. https://doi.org/https://doi.org/10.1016/j.jenvman.2019.04.087
- Díaz-Varela, E. R., Marey-Pérez, M. F., Riveiro-Valiño, J. A., & Alvarez-Lopez, C. J. (2010). Preservation of spatial information in rasterization processes: A practical approach using real categorical data and landscape metrics. GIScience & Remote Sensing, 47(3), 425–442. https://doi.org/https://doi.org/10.2747/1548-1603.47.3.425
- Galton, A. (2003). Spatial cognition and computation. Granularity-sensitive Spatial Attributes, 3(2−3), 97–118. https://doi.org/https://doi.org/10.1080/13875868.2003.9683757
- Gillman, R. (2002). Geometry and gerrymandering. Math Horizons, 10(1), 10–13. https://doi.org/https://doi.org/10.1080/10724117.2002.11974602
- Goodchild, M. F. (2011). Scale in GIS: An overview. Geomorphology, 130(2), 5–9. https://doi.org/https://doi.org/10.1016/j.geomorph.2010.10.004
- Kaliraj, S., Chandrasekar, N., & Magesh, N. S. (2015). Evaluation of multiple environmental factors for site-specific groundwater recharge structures in the Vaigai river upper basin, Tamil Nadu, India, using GIS-based weighted overlay analysis. Environmental Earth Sciences, 74(5), 4355–4380. https://doi.org/https://doi.org/10.1007/s12665-015-4384-9
- Li, W. W., Goodchild, M. F., & Church, R. (2013). An efficient measure of compactness for two-dimensional shapes and its application in regionalization problems. International Journal of Geographical Information Science, 27(6), 1227–1250. https://doi.org/https://doi.org/10.1080/13658816.2012.752093
- Liang, X., Tian, H., Li, X., Huang, J. L., Clarke, K. C., Yao, Y., Guan, Q. F., & Hu, G. H. (2021). Modeling the dynamics and walking accessibility of urban open spaces under various policy scenarios. Landscape and Urban Planning, 207, 103993. https://doi.org/https://doi.org/10.1016/j.landurbplan.2020.103993
- Liao, S., Bai, Z., & Bai, Y. (2012). Errors prediction for vector-to-raster conversion based on map load and cell size. Chinese Geographical Science, 22(6), 695–704. https://doi.org/https://doi.org/10.1007/s11769-012-0544-y
- Liao, S. B., & Bai, Y. (2010). A new grid-cell based method for error evaluation of vector-to-raster conversion. Computational Geosciences, 14(4), 539–549. https://doi.org/https://doi.org/10.1007/s10596-009-9169-3
- Lieberman, H. (1978). How to color in a coloring book. In SIGGRAPH ‘78: Proceedings of the 5th Annual Conference on Computer Graphics and Interactive Techniques (pp. 111–116). Association for Computing Machinery. https://doi.org/https://doi.org/10.1145/800248.807380
- Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2005). Geographic information systems and science (2nd ed.). Wiley.
- Mašek, J., & Vořechovský, M. (2019). Approximation of Voronoï cell attributes using parallel solution. Advances in Engineering Software, 132, 7–17. https://doi.org/https://doi.org/10.1016/j.advengsoft.2019.03.012
- Melih, B., & Sinan, C. (2019). New measures for analysis and comparison of shape distortion in world map projections. Cartography and Geographic Information Science, 46(6), 518–531. https://doi.org/https://doi.org/10.1080/15230406.2019.1567394
- Mustafa, A., Cools, M., Saadi, I., & Teller, J. (2017). Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM). Land Use Policy, 69, 529–540. https://doi.org/https://doi.org/10.1016/j.landusepol.2017.10.009
- Pavlidis, T. (1979). Filling algorithms for raster graphics. Computer Graphics and Image Processing, 10(2), 126–141. https://doi.org/https://doi.org/10.1016/0146-664X(79)90046-7
- Pittiglio, C., Khomenko, S., & Beltran-Alcrudo, D. (2018). Wild boar mapping using population-density statistics: From polygons to high resolution raster maps. PLoS ONE, 13(5), e0193295. https://doi.org/https://doi.org/10.1371/journal.pone.0193295
- Piwowar, J. M. (1987). Conversion between vector and raster format data for geographic information systems applications [Master’s thesis, University of Waterloo]. University of Waterloo Theses and Dissertations. https://ocul-wtl.primo.exlibrisgroup.com/permalink/01OCUL_WTL/vk29fk/alma991750353505162
- Shortridge, A. M. (2004). Geometric variability of raster cell class assignment. International Journal of Geographical Information Science, 18(6), 539–558. https://doi.org/https://doi.org/10.1080/13658810410001702012
- Van Der Knaap, W. G. M. (1992). The vector to raster conversion: (mis)use in geographical information systems. International Journal of Geographical Information Systems, 6(2), 159–170. https://doi.org/https://doi.org/10.1080/02693799208901902
- Wade, T. G., Wickham, J. D., Nash, M. S., Neale, A. C., Riitters, K. H., & Jones, K. B. (2003). A comparison of vector and raster GIS methods for calculating landscape metrics used in environmental assessments. Photogrammetric Engineering and Remote Sensing, 69(12), 1399–1405. https://doi.org/https://doi.org/10.14358/PERS.69.12.1399
- Wei, W., Guo, L., Xing, X., & Pei, Z. Y. (2019). Multi-scale rasterization of contracted land vector data based on grid purity index. In Proceedings of 2019 8th International Conference on Agro-Geoinformatics (pp. 1–5). IEEE. https://doi.org/https://doi.org/10.1109/Agro-Geoinformatics.2019.8820418
- Xie, P., Liu, Y. L., He, Q. S., Zhao, X., & Yang, J. (2017). An efficient vector-raster overlay algorithm for high-accuracy and high-efficiency surface area calculations of irregularly shaped land use patches. ISPRS International Journal of Geo-Information, 6(6), 156. https://doi.org/https://doi.org/10.3390/ijgi6060156
- Yang, C. J., Liu, J. Y., & Zhang, Z. X. (2001). The models of the accuracy loss during rasterizing land use vector data with multi-scale grid size. In Y. X. Zhong, J. F. Shi, & X. Lin (Eds.), 2001 International Conferences on Info-tech and Info-Net Proceedings (pp. 381–386). IEEE. https://doi.org/https://doi.org/10.1109/ICII.2001.982777
- Zhang, H., Wen, Y. N., & Liu, A. L. (2010). Algorithmic foundations of geographic information systems. China Science Publishing & Media Ltd. (In Chinese).
- Zhao, Z. Q., & Stough, R. R. (2005). Measuring similarity among various shapes based on geometric matching. Geographical Analysis, 37(4), 410–422. https://doi.org/https://doi.org/10.1111/j.0016-7363.2005.03704001.x
- Zhou, C., Li, D. M., Xiao, N. C., Chen, Z. J., Li, X., & Li, M. C. (2018). A topology-preserving polygon rasterization algorithm. Cartography and Geographic Information Science, 45(6), 495–509. https://doi.org/https://doi.org/10.1080/15230406.2017.1401488
- Zhou, C. H., Ou, Y., Yang, L., & Qin, B. (2007). An equal area conversion model for rasterization of vector polygons. Science in China Series D: Earth Sciences, 50(S1), 169–175. https://doi.org/https://doi.org/10.1007/s11430-007-5013-6