{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T07:14:33Z","timestamp":1771658073177,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,1,28]],"date-time":"2016-01-28T00:00:00Z","timestamp":1453939200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,28]],"date-time":"2016-01-28T00:00:00Z","timestamp":1453939200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100006751","name":"U.S. Army","doi-asserted-by":"publisher","award":["W911NF-13-1-0063"],"award-info":[{"award-number":["W911NF-13-1-0063"]}],"id":[{"id":"10.13039\/100006751","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Auton Robot"],"published-print":{"date-parts":[[2017,2]]},"DOI":"10.1007\/s10514-015-9527-z","type":"journal-article","created":{"date-parts":[[2016,1,28]],"date-time":"2016-01-28T13:26:21Z","timestamp":1453987581000},"page":"311-331","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Stochastic mobility prediction of ground vehicles over large spatial regions: a geostatistical approach"],"prefix":"10.1007","volume":"41","author":[{"given":"Ram\u00f3n","family":"Gonz\u00e1lez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paramsothy","family":"Jayakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Iagnemma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,1,28]]},"reference":[{"key":"9527_CR1","unstructured":"AM General LLC specialized vehicles for commercial and military customers. \n                    http:\/\/www.amgeneral.com\/vehicles\/hmmwv\n                    \n                  ; Visited: November, 2015."},{"key":"9527_CR2","unstructured":"American Society for Testing and Materials (1996) Standard guide for analysis of spatial variation in geostatistical site investigations. In Annual book of ASTM standards. (vol. 04.08). West Conshohocken, PA: ASTM."},{"key":"9527_CR3","unstructured":"Amidi, O. (1990). Integrated mobile robot control. Technical Report CMU\u2013RI\u2013TR\u201390\u201317, Robotics Institute, Carnegie Mellon University."},{"issue":"12","key":"9527_CR4","doi-asserted-by":"publisher","first-page":"2423","DOI":"10.1080\/01431160600554413","volume":"27","author":"A Anderson","year":"2006","unstructured":"Anderson, A., Wang, G., & Gertner, G. (2006). Local variability based sampling for mapping a soil erosion cover factor by co-simulation with landsat TM images. International Journal of Remote Sensing, 27(12), 2423\u20132447.","journal-title":"International Journal of Remote Sensing"},{"key":"9527_CR5","doi-asserted-by":"publisher","first-page":"667","DOI":"10.5194\/bg-8-667-2011","volume":"8","author":"J Arieira","year":"2011","unstructured":"Arieira, J., Karssenberg, D., de Jong, S., Addink, E., Couto, E., da Cunha, C. N., et al. (2011). Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil. Biogeosciences, 8, 667\u2013686.","journal-title":"Biogeosciences"},{"key":"9527_CR6","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/s12665-010-0753-6","volume":"63","author":"M Basaran","year":"2011","unstructured":"Basaran, M., Erpul, G., Ozcan, A., Saygin, D., Kibar, M., Bayramin, I., et al. (2011). Spatial information of soil hydraulic conductivity and performance of Cokriging over Kriging in a semi-arid basin scale. Environ Earth Sci, 63, 827\u2013838.","journal-title":"Environ Earth Sci"},{"issue":"8","key":"9527_CR7","doi-asserted-by":"publisher","first-page":"1967","DOI":"10.1007\/s00477-013-0731-0","volume":"27","author":"A Bechler","year":"2013","unstructured":"Bechler, A., Romary, T., Jeannee, N., & Desnoyers, Y. (2013). Geostatistical sampling optimization of contaminated facilities. Stochastic Environmental Research and Risk Assessment, 27(8), 1967\u20131974.","journal-title":"Stochastic Environmental Research and Risk Assessment"},{"key":"9527_CR8","series-title":"Applied spatial data analysis with R","volume-title":"Use R","author":"R Bivand","year":"2013","unstructured":"Bivand, R., Pebesma, E., & Gomez-Rubio, V. (2013). Use R (2nd ed.)., Applied spatial data analysis with R New York: Springer.","edition":"2"},{"key":"9527_CR9","unstructured":"Bohling, G. (2005). Kriging. \n                    http:\/\/people.ku.edu\/~gbohling\/cpe940\n                    \n                  ; Visited: November, 2015."},{"issue":"4","key":"9527_CR10","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1007\/BF02083488","volume":"26","author":"D Brus","year":"1994","unstructured":"Brus, D., & Gruijter, J. (1994). Estimation of non-ergodic variograms and their sampling variance by design-based sampling strategies. Mathematical Geology, 26(4), 437\u2013454.","journal-title":"Mathematical Geology"},{"key":"9527_CR11","doi-asserted-by":"publisher","DOI":"10.1002\/9781118136188","volume-title":"Geostatistics. modeling spatial uncertainty, probabily and statistics","author":"J Chiles","year":"2012","unstructured":"Chiles, J., & Delfiner, P. (2012). Geostatistics. modeling spatial uncertainty, probabily and statistics (2nd ed.). New York: Wiley.","edition":"2"},{"key":"9527_CR12","series-title":"Fundamental algorithms in matlab. Springer Tracts in Advanced Robotics","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20144-8","volume-title":"Robotics, vision and control","author":"P Corke","year":"2011","unstructured":"Corke, P. (2011). Robotics, vision and control., Fundamental algorithms in matlab. Springer Tracts in Advanced Robotics Dordrecht: Springer."},{"issue":"5","key":"9527_CR13","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1080\/136588197242239","volume":"11","author":"T Davis","year":"1997","unstructured":"Davis, T., & Keller, C. (1997). Modelling uncertainty in natural resource analysis using fuzzy sets and Monte Carlo simulation: Slope stability prediction. International Journal of Geographical Information Science, 11(5), 409\u2013434.","journal-title":"International Journal of Geographical Information Science"},{"issue":"2","key":"9527_CR14","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1080\/02693799108927843","volume":"5","author":"P Fisher","year":"1991","unstructured":"Fisher, P. (1991). Modelling soil map-unit inclusions by Monte Carlo simulation. International Jornal of Geographical Information Systems, 5(2), 193\u2013208.","journal-title":"International Jornal of Geographical Information Systems"},{"issue":"4","key":"9527_CR15","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1191\/0309133306pp492ra","volume":"30","author":"P Fisher","year":"2006","unstructured":"Fisher, P., & Tate, N. (2006). Causes and consequences of error in digital elevation models. Progress in Physical Geography, 30(4), 467\u2013489.","journal-title":"Progress in Physical Geography"},{"key":"9527_CR16","first-page":"2025","volume":"5","author":"S Goldberg","year":"2002","unstructured":"Goldberg, S., Maimone, M., & Matthies, L. (2002). Stereo vision and rover navigation software for planetary exploration. IEEE Aerospace Conference, 5, 2025\u20132036.","journal-title":"IEEE Aerospace Conference"},{"issue":"3","key":"9527_CR17","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1023\/A:1007563809463","volume":"32","author":"D Gorsich","year":"2000","unstructured":"Gorsich, D., & Genton, M. (2000). Variogram model selection via nonparametric derivative estimation. Mathematical Geology, 32(3), 249\u2013270.","journal-title":"Mathematical Geology"},{"key":"9527_CR18","unstructured":"Haley, P. W., Jurkat, M. P., & Brady, P. M. (1979). NATO reference mobility model, Edition I. Technical Report 12503. US Army TARDEC, Warren, MI."},{"issue":"2","key":"9527_CR19","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1002\/rob.20276","volume":"26","author":"R Hadsell","year":"2009","unstructured":"Hadsell, R., Sermanet, P., Ben, J., Erkan, A., Scoffier, M., Kavukcuoglu, K., et al. (2009). Learning long-range vision for autonomous off-road driving. Journal of Field Robotics, 26(2), 120\u2013144.","journal-title":"Journal of Field Robotics"},{"issue":"4","key":"9527_CR20","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/rob.20292","volume":"26","author":"D Helmick","year":"2009","unstructured":"Helmick, D., Angelova, A., & Matthies, L. (2009). Terrain adaptive navigation for planetary rovers. Journal of Field Robotics, 26(4), 391\u2013410.","journal-title":"Journal of Field Robotics"},{"issue":"3","key":"9527_CR21","first-page":"737","volume":"23","author":"S Hosseini","year":"2014","unstructured":"Hosseini, S., Kappas, M., Bodaghabadi, M., Chahouki, M., & Khojasteh, E. (2014). Comparison of different geostatistical methods for soil mapping using remote sensing and environment variables in Pshtkouh rangelands, Iran. Polish Journal of Environmental Studies, 23(3), 737\u2013751.","journal-title":"Polish Journal of Environmental Studies"},{"issue":"1","key":"9527_CR22","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1111\/j.1538-4632.1997.tb00944.x","volume":"29","author":"G Hunter","year":"1997","unstructured":"Hunter, G., & Goodchild, M. (1997). Modeling the uncertainty of slope and aspect estimates derived from spatial databases. Geographical Analysis, 29(1), 35\u201349.","journal-title":"Geographical Analysis"},{"key":"9527_CR23","volume-title":"An introduction to applied geostatistics","author":"E Isaaks","year":"1989","unstructured":"Isaaks, E., & Srivastava, R. (1989). An introduction to applied geostatistics. Oxford: Oxford University Press."},{"issue":"3","key":"9527_CR24","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1002\/rob.20277","volume":"26","author":"G Ishigami","year":"2009","unstructured":"Ishigami, G., Nagatani, K., & Yoshida, K. (2009). Slope traversal controls for planetary exploration rover on sandy terrain. Journal of Field Robotics, 26(3), 264\u2013286.","journal-title":"Journal of Field Robotics"},{"issue":"8","key":"9527_CR25","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1177\/0278364910370241","volume":"29","author":"S Karumachi","year":"2010","unstructured":"Karumachi, S., Allen, T., Bailey, T., & Scheding, S. (2010). Non-parametric learning to aid path planning over slopes. The International Journal of Robotics Research, 29(8), 997\u20131018.","journal-title":"The International Journal of Robotics Research"},{"issue":"2","key":"9527_CR26","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1109\/34.121795","volume":"14","author":"IS Kweon","year":"1992","unstructured":"Kweon, I. S., & Kanade, T. (1992). High-resolution terrain map from multiple sensor data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2), 278\u2013292.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"9527_CR27","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-90-481-9133-8_2","volume-title":"Geostatistical applications for precision agriculture","author":"R Kerry","year":"2010","unstructured":"Kerry, R., Oliver, M., & Frogbrook, Z. (2010). Sampling in precision agriculture. Geostatistical applications for precision agriculture (pp. 35\u201363). Dordrecht: Springer."},{"key":"9527_CR28","unstructured":"Kulis, B., & Jordan, M. (2012). Revisiting K-means: New algorithms via Bayesian nonparametrics. In International conference on machine learning (pp. 513\u2013520): International Machine Learning Society (IMLS)."},{"key":"9527_CR29","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1016\/j.procs.2011.04.173","volume":"4","author":"J Kumar","year":"2011","unstructured":"Kumar, J., Mills, R., Hoffman, F., & Hargrove, W. (2011). Parallel K-means clustering for quantitative ecoregion delineation using large data sets. Procedia Computer Science, 4, 1602\u20131611.","journal-title":"Procedia Computer Science"},{"key":"9527_CR30","doi-asserted-by":"publisher","first-page":"913","DOI":"10.3390\/s100100913","volume":"10","author":"T Lakhankar","year":"2010","unstructured":"Lakhankar, T., Jones, A., Combs, C., Sengupta, M., Haar, T. V., & Khanbilvardi, R. (2010). Analysis of large scale spatial variability of soil moisture using a geostatistical method. Sensors, 10, 913\u2013932.","journal-title":"Sensors"},{"key":"9527_CR31","unstructured":"LaValle, S. M. (2006). Planning algorithms. Cambridge: Cambridge University Press. \n                    http:\/\/planning.cs.uiuc.edu\n                    \n                  ; Visited: November, 2015."},{"issue":"6","key":"9527_CR32","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0022-4898(97)00010-4","volume":"33","author":"A Lessem","year":"1996","unstructured":"Lessem, A., Mason, G., & Ahlvin, R. (1996). Stochastic vehicle mobility forecasts using the NATO reference mobility model. Journal of Terramechanics, 33(6), 273\u2013280.","journal-title":"Journal of Terramechanics"},{"issue":"3\u20134","key":"9527_CR33","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.ecoinf.2010.12.003","volume":"6","author":"J Li","year":"2011","unstructured":"Li, J., & Heap, A. (2011). A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors. Ecological Informatics, 6(3\u20134), 228\u2013241.","journal-title":"Ecological Informatics"},{"key":"9527_CR34","unstructured":"mGstat: A geostatistical matlab toolbox. \n                    http:\/\/mgstat.sourceforge.net\n                    \n                  ; Visited: November, 2015."},{"issue":"4","key":"9527_CR35","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1016\/j.engappai.2013.01.006","volume":"26","author":"P Papadakis","year":"2013","unstructured":"Papadakis, P. (2013). Terrain traversability analysis methods for unmanned ground vehicles: A survey. Engineering Applicatons of Artificial Intelligence, 26(4), 1373\u20131385.","journal-title":"Engineering Applicatons of Artificial Intelligence"},{"key":"9527_CR36","unstructured":"Pengelly, J. (2002). Monte Carlo methods. \n                    http:\/\/www.cs.otago.ac.nz\/cosc453\n                    \n                  ; Visited: November, 2015."},{"issue":"6","key":"9527_CR37","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1002\/rob.21536","volume":"31","author":"T Peynot","year":"2014","unstructured":"Peynot, T., Lui, S., McAllister, R., Fitch, R., & Sukkarieh, S. (2014). Learned stochastic mobility prediction for planning with control uncertainty on unstructured terrain. Journal of Field Robotics, 31(6), 969\u2013995.","journal-title":"Journal of Field Robotics"},{"key":"9527_CR38","series-title":"Applied Probability and Statistics","doi-asserted-by":"publisher","DOI":"10.1002\/9780470230381","volume-title":"Simulation and the Monte Carlo method","author":"R Rubinstein","year":"2007","unstructured":"Rubinstein, R., & Kroese, D. (2007). Simulation and the Monte Carlo method (2nd ed.)., Applied Probability and Statistics New York: Wiley.","edition":"2"},{"key":"9527_CR39","unstructured":"Stentz, A. (1995). The focussed D* algorithm for real-time replanning. In Proceedings of the international joint conference on artificial intelligence."},{"key":"9527_CR40","unstructured":"Stentz, A., Kelly, A., Rander, P., Herman, H., Amidi, O., Mandelbaum, R., et al. (2003). Real-time, multi-perspective perception for unmanned ground vehicles. In Proceedings of of AUVSI unmanned systems symposium."},{"key":"9527_CR41","unstructured":"Stentz,T., Kelly, A., Herman, H., Rander, P., & Amidi, O. (2002). Integrated air\/ground vehicle system for semi-autonomous off-road navigation. In AUVSI symposium (pp. 1\u201315)."},{"key":"9527_CR42","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.coal.2013.01.011","volume":"112","author":"R Srivastava","year":"2013","unstructured":"Srivastava, R. (2013). Geostatistics: A toolkit for data analysis, spatial prediction and risk management in the coal industry. International Journal of Coal Geology, 112, 2\u201313.","journal-title":"International Journal of Coal Geology"},{"key":"9527_CR43","volume-title":"Sampling, probability and statistics","author":"S Thompson","year":"2012","unstructured":"Thompson, S. (2012). Sampling, probability and statistics (3rd ed.). New York: Wiley.","edition":"3"},{"issue":"9","key":"9527_CR44","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1002\/rob.20147","volume":"23","author":"S Thrun","year":"2006","unstructured":"Thrun, S., Montemerlo, M., et al. (2006). STANLEY, the robot that won the DARPA gran challenge. Journal of Field Robotics, 23(9), 661\u2013692.","journal-title":"Journal of Field Robotics"},{"key":"9527_CR45","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.rse.2013.08.012","volume":"139","author":"O Tsui","year":"2013","unstructured":"Tsui, O., Coops, N., Wulder, M., & Marshall, P. (2013). Integrating airborne LIDAR and space-borne radar via multivariable Kriging to estimate above-ground biomass. Remote Sensing of Environment, 139, 340\u2013352.","journal-title":"Remote Sensing of Environment"},{"issue":"1","key":"9527_CR46","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1177\/0278364906061161","volume":"25","author":"N Vandapel","year":"2006","unstructured":"Vandapel, N., Donamukkala, R., & Hebert, M. (2006). Unmanned ground vehicle navigation using aerial ladar data. International Journal of Robotics Research, 25(1), 31\u201351.","journal-title":"International Journal of Robotics Research"},{"issue":"18","key":"9527_CR47","doi-asserted-by":"publisher","first-page":"5644","DOI":"10.1080\/01431161.2012.666363","volume":"33","author":"F van der Meer","year":"2012","unstructured":"van der Meer, F. (2012). Remote-sensing image analysis and geostatistics. International Journal of Remote Sensing, 33(18), 5644\u20135676.","journal-title":"International Journal of Remote Sensing"},{"key":"9527_CR48","unstructured":"Vedaldi, A., Fulkerson, B. (2008). VLFeat: An open and portable library of computer vision algorithms. \n                    http:\/\/www.vlfeat.org\n                    \n                  ; Visited: November, 2015."},{"key":"9527_CR49","unstructured":"WebGIS. (2105). Geographic information systems resource. \n                    http:\/\/www.webgis.com\n                    \n                  ; Visited: November, 2015."},{"key":"9527_CR50","series-title":"Statistics in Practice","doi-asserted-by":"publisher","DOI":"10.1002\/9780470517277","volume-title":"Geostatistics for environmental scientists","author":"R Webster","year":"2007","unstructured":"Webster, R., & Oliver, M. (2007). Geostatistics for environmental scientists (2nd ed.)., Statistics in Practice New York: Wiley.","edition":"2"},{"key":"9527_CR51","unstructured":"Willoughby, W., Jones, R., Mason, G., Shoop, S., & Lever, J. (2006). Application of historical mobility testing to sensor-based robotic performance. In: Proceedings of SPIE 6230, unmanned systems technology VIII (pp. 1\u20138)."},{"key":"9527_CR52","series-title":"Springer Theses","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29807-3","volume-title":"Advances in K-means clustering","author":"J Wu","year":"2012","unstructured":"Wu, J. (2012). Advances in K-means clustering., Springer Theses Berlin: Springer."},{"key":"9527_CR53","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.cageo.2003.07.005","volume":"30","author":"Q Zhou","year":"2004","unstructured":"Zhou, Q., & Liu, X. (2004). Analysis of errors of derived slope and aspect related to DEM data properties. Journal of Computer & Geosciences, 30, 369\u2013378.","journal-title":"Journal of Computer & Geosciences"}],"container-title":["Autonomous Robots"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-015-9527-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10514-015-9527-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-015-9527-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-015-9527-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T08:43:09Z","timestamp":1589704989000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10514-015-9527-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,28]]},"references-count":53,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,2]]}},"alternative-id":["9527"],"URL":"https:\/\/doi.org\/10.1007\/s10514-015-9527-z","relation":{},"ISSN":["0929-5593","1573-7527"],"issn-type":[{"value":"0929-5593","type":"print"},{"value":"1573-7527","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,28]]},"assertion":[{"value":"16 April 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2016","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}