{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T16:17:49Z","timestamp":1782749869699,"version":"3.54.5"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T00:00:00Z","timestamp":1733961600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T00:00:00Z","timestamp":1733961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s12145-024-01598-8","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T08:44:32Z","timestamp":1733993072000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Multidimensional spatiotemporal autocorrelation analysis theory based on Multi-observation spatiotemporal Moran\u2019s I and its application in resource allocation"],"prefix":"10.1007","volume":"18","author":[{"given":"Ce","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wangyong","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yufan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,12]]},"reference":[{"key":"1598_CR1","doi-asserted-by":"crossref","unstructured":"Annis DH (2005) Permutation, parametric, and bootstrap tests of hypotheses","DOI":"10.1198\/jasa.2005.s48"},{"issue":"8","key":"1598_CR2","first-page":"32","volume":"12","author":"J Bai","year":"2020","unstructured":"Bai J, Li SX, Wang N, Shi JR, Li XM (2020) Spatial spillover effect of new energy development on economic growth in developing areas of china\u2014an empirical test based on the spatial dubin model. Sustainability 12(8):32\u201349","journal-title":"Sustainability"},{"issue":"1","key":"1598_CR3","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1111\/rssb.12340","volume":"82","author":"TB Berrett","year":"2020","unstructured":"Berrett TB, Wang Y, Barber RF, Samworth RJ (2020) The conditional permutation test for independence while controlling for confounders. J R Stat Soc Ser B Stat Methodol 82(1):175\u2013197","journal-title":"J R Stat Soc Ser B Stat Methodol"},{"issue":"1","key":"1598_CR4","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.apgeog.2013.02.011","volume":"40","author":"C Bone","year":"2013","unstructured":"Bone C, Wulder MA, White JC (2013) A gis-based risk rating of forest insect outbreaks using aerial overview surveys and the local moran\u2019s i statistic. Appl Geogr 40(1):161\u2013170","journal-title":"Appl Geogr"},{"issue":"1","key":"1598_CR5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.3103\/S1066530722010021","volume":"31","author":"FJ Caro-Lopera","year":"2022","unstructured":"Caro-Lopera FJ, Far\u00edas GG, Balakrishnan N (2022) Matrix variate distribution theory under elliptical models\u2014v: The non-central wishart and inverted wishart distributions. Math Methods Stat 31(1):18\u201342","journal-title":"Math Methods Stat"},{"issue":"4","key":"1598_CR6","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1111\/gean.12130","volume":"49","author":"TB Carrijo","year":"2017","unstructured":"Carrijo TB, da Silva AR (2017) Modified moran\u2019s i for small samples. Geograph Anal 49(4):451\u2013467","journal-title":"Geograph Anal"},{"issue":"3","key":"1598_CR7","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/s42650-022-00071-5","volume":"49","author":"K Cupido","year":"2022","unstructured":"Cupido K, McClure O (2022) Spatio-temporal analysis of human mortality in canada. Can Stud Popul 49(3):183\u2013198","journal-title":"Can Stud Popul"},{"issue":"4","key":"1598_CR8","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1111\/gean.12266","volume":"53","author":"M Eckardt","year":"2021","unstructured":"Eckardt M, Mateu J (2021) Partial and semi-partial statistics of spatial associations for multivariate areal data. Geograph Anal 53(4):818\u2013835","journal-title":"Geograph Anal"},{"issue":"2","key":"1598_CR9","first-page":"199","volume":"28","author":"J Feng","year":"2022","unstructured":"Feng J, Chen TH, Dai LF et al (2022) Bivariate spatial autocorrelation analysis of influenza vaccination rates and socio-economic indicators among children aged 6 months-5 years during the influenza season 2020\u20132021 in guizhou province. Vacc Immuniz China 28(2):199\u2013203","journal-title":"Vacc Immuniz China"},{"issue":"9","key":"1598_CR10","first-page":"187","volume":"39","author":"ML Gan","year":"2016","unstructured":"Gan ML, Lv WY, Fu L (2016) Spatial statistical analysis of pm2.5 in Chengdu based on the improved Moran\u2019s i index. Environ Sci Technol 39(9):187\u2013193","journal-title":"Environ Sci Technol"},{"issue":"3","key":"1598_CR11","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1080\/10095020.2019.1643609","volume":"22","author":"Y Gao","year":"2019","unstructured":"Gao Y, Cheng J, Meng HH, Liu Y (2019) Measuring spatio-temporal autocorrelation in time series data of collective human mobility. Geo-Spat Inf Sci 22(3):166\u2013173","journal-title":"Geo-Spat Inf Sci"},{"issue":"3","key":"1598_CR12","first-page":"115","volume":"5","author":"RC Geary","year":"1954","unstructured":"Geary RC (1954) The contiguity ratio and statistical mapping. Inc Stat 5(3):115\u2013146","journal-title":"Inc Stat"},{"issue":"8","key":"1598_CR13","first-page":"124","volume":"282","author":"H Guo","year":"2021","unstructured":"Guo H, Tan J, Liao SM, Liang ZJ (2021) Exploring the spatial aggregation and determinants of energy intensity in guangdong province of china. J Clean Prod 282(8):124\u2013167","journal-title":"J Clean Prod"},{"issue":"1","key":"1598_CR14","first-page":"258","volume":"163","author":"YX He","year":"2018","unstructured":"He YX, Guang FT, Wang MY (2018) The efficiency of electricity-use of china and its influencing factors. Energy 163(1):258\u2013269","journal-title":"Energy"},{"key":"1598_CR15","unstructured":"Hordijk L, Nijkamp P (1977) Estimation of spatiotemporal models, vol 32, no 1, pp 1\u201315"},{"key":"1598_CR16","doi-asserted-by":"crossref","unstructured":"Jaya IGNM, Andriyana Y, Tantular B, Ruchjana BN et al (2019) Spatiotemporal dengue disease clustering by means local spatiotemporal moran\u2019s index, vol 621, no 1, pp 12\u201317","DOI":"10.1088\/1757-899X\/621\/1\/012017"},{"issue":"4","key":"1598_CR17","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1080\/10095020.2012.714103","volume":"15","author":"LM Jiao","year":"2012","unstructured":"Jiao LM, Liu YL (2012) Analyzing the spatial autocorrelation of regional urban datum land price. Geo-spat Inf Sci 15(4):263\u2013269","journal-title":"Geo-spat Inf Sci"},{"issue":"2","key":"1598_CR18","first-page":"117","volume":"27","author":"KT Kim","year":"2015","unstructured":"Kim KT, Song JM (2015) The impact of urban spatial form on energy consumption in the transportation sector. J Korean Reg Dev Assoc 27(2):117\u2013138","journal-title":"J Korean Reg Dev Assoc"},{"issue":"1","key":"1598_CR19","first-page":"100","volume":"15","author":"M Kumari","year":"2019","unstructured":"Kumari M, Sarma K, Sharma R (2019) Using moran\u2019s i and gis to study the spatial pattern of land surface temperature in relation to land use\/cover around a thermal power plant in singrauli district, madhya pradesh, india. Remote Sens Appl Soc Environ 15(1):100\u2013122","journal-title":"Remote Sens Appl Soc Environ"},{"issue":"1","key":"1598_CR20","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1111\/gean.12106","volume":"49","author":"J Lee","year":"2017","unstructured":"Lee J, Li SW (2017) Extending moran\u2019s index for measuring spatiotemporal clustering of geographic events. Geograph Anal 49(1):36\u201357","journal-title":"Geograph Anal"},{"issue":"2","key":"1598_CR21","first-page":"117","volume":"7","author":"J Lee","year":"2021","unstructured":"Lee J, Li SW, Wang SL, Wang J, Li J (2021) Spatio-temporal nearest neighbor index for measuring space-time clustering among geographic events. Papers Appl Geogr 7(2):117\u2013130","journal-title":"Papers Appl Geogr"},{"issue":"3","key":"1598_CR22","doi-asserted-by":"crossref","first-page":"87","DOI":"10.3390\/ijgi12030087","volume":"12","author":"T Lemmerz","year":"2023","unstructured":"Lemmerz T, Herle S, Blankenbach J (2023) Geostatistics on real-time geodata streams\u2014an extended spatiotemporal moran\u2019s i index with distributed stream processing technologies. ISPRS Int J Geo-Inf 12(3):87\u2013102","journal-title":"ISPRS Int J Geo-Inf"},{"issue":"3","key":"1598_CR23","first-page":"167","volume":"55","author":"CB Li","year":"2022","unstructured":"Li CB, Dong J (2022) Regional differences and spatial econometric analysis of wind power generation performance in china. Autom Electr Power Syst Press 55(3):167\u2013176","journal-title":"Autom Electr Power Syst Press"},{"issue":"17","key":"1598_CR24","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1016\/j.envpol.2017.03.057","volume":"225","author":"J Liang","year":"2017","unstructured":"Liang J, Feng C, Zeng GM (2017) Spatial distribution and source identification of heavy metals in surface soils in a typical coal mine city, lianyuan, china. Environ Pollut 225(17):681\u2013690","journal-title":"Environ Pollut"},{"issue":"1","key":"1598_CR25","first-page":"204","volume":"75","author":"QL Liu","year":"2019","unstructured":"Liu QL, Liu WK, Tang JB, Deng M, Liu YL (2019) Permutation-test-based clustering method for detection of dynamic patterns in spatio-temporal datasets. Comput Environ Urban Syst 75(1):204\u2013216","journal-title":"Comput Environ Urban Syst"},{"key":"1598_CR26","unstructured":"Luo ZF (2020) Analysis of factors influencing house prices in major cities in China based on a spatial panel model, Master\u2019s thesis, Southwest University of Finance and Economics"},{"issue":"11","key":"1598_CR27","doi-asserted-by":"crossref","first-page":"9","DOI":"10.2516\/stet\/2022007","volume":"77","author":"WD Lv","year":"2022","unstructured":"Lv WD, Feng J, Wu Q (2022) Spatial evolution of the energy industry in hebei province and drivers of green productivity factors. Sci Technol Energy Transit 77(11):9\u201320","journal-title":"Sci Technol Energy Transit"},{"issue":"2","key":"1598_CR28","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1111\/j.2517-6161.1948.tb00012.x","volume":"10","author":"PAP Moran","year":"1948","unstructured":"Moran PAP (1948) The interpretation of statistical maps. J R Stat Soc Ser B 10(2):243\u2013251","journal-title":"J R Stat Soc Ser B"},{"issue":"5","key":"1598_CR29","first-page":"463","volume":"3","author":"BL Ou","year":"2015","unstructured":"Ou BL, Zhao X, Wang MX (2015) Power of moran\u2019s i test for spatial dependence in panel data models with time varying spatial weights matrices. J Syst Sci Inf 3(5):463\u2013471","journal-title":"J Syst Sci Inf"},{"issue":"1","key":"1598_CR30","first-page":"1","volume":"189","author":"F Ouimet","year":"2022","unstructured":"Ouimet F (2022) A symmetric matrix-variate normal local approximation for the wishart distribution and some applications. J Multivar Anal 189(1):1\u201317","journal-title":"J Multivar Anal"},{"issue":"1","key":"1598_CR31","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s12061-017-9248-0","volume":"12","author":"J Pan","year":"2019","unstructured":"Pan J, Li J (2019) Spatiotemporal dynamics of electricity consumption in china. Appl Spat Anal Policy 12(1):395\u2013422","journal-title":"Appl Spat Anal Policy"},{"issue":"5","key":"1598_CR32","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.econmod.2014.04.022","volume":"41","author":"TX Ren","year":"2014","unstructured":"Ren TX, Long ZH, Zhang RG, Chen QQ (2014) Moran\u2019s i test of spatial panel data model\u2014based on bootstrap method. Econ Model 41(5):9\u201314","journal-title":"Econ Model"},{"issue":"4","key":"1598_CR33","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1007\/s13412-022-00775-9","volume":"12","author":"A Saraswati","year":"2022","unstructured":"Saraswati A, Hartono D, Indriyani W (2022) The impact of fdi on energy intensity: a spatial econometric analysis of indonesian provinces. J Environ Stud Sci 12(4):853\u2013869","journal-title":"J Environ Stud Sci"},{"issue":"19","key":"1598_CR34","doi-asserted-by":"crossref","first-page":"3072","DOI":"10.1093\/bioinformatics\/btx351","volume":"33","author":"C Schmal","year":"2017","unstructured":"Schmal C, Myung J, Herzel H, Bordyugov G (2017) Moran\u2019s i quantifies spatio-temporal pattern formation in neural imaging data. Bioinformatics 33(19):3072\u20133079","journal-title":"Bioinformatics"},{"key":"1598_CR35","unstructured":"Shao W (2012) Monte Carlo methods and their application to some statistical models, Ph.D. thesis, Jinan: Shandong University"},{"issue":"1\u20132","key":"1598_CR36","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.physleta.2015.09.039","volume":"380","author":"CH Shen","year":"2016","unstructured":"Shen CH, Li CL, Si YL (2016) Spatio-temporal autocorrelation measures for nonstationary series: A new temporally detrended spatio-temporal moran\u2019s index. Phys Lett A 380(1\u20132):106\u2013116","journal-title":"Phys Lett A"},{"issue":"5","key":"1598_CR37","first-page":"1006","volume":"31","author":"T Shen","year":"2022","unstructured":"Shen T, Li FX, Chen ZJ (2022) Evaluation of urban vitality and spatial correlation analysis based on multi-source data - taking Changzhou city\u2019s main urban area as an example. Yangtze River Basin Resour Environ 31(5):1006\u20131015","journal-title":"Yangtze River Basin Resour Environ"},{"issue":"2","key":"1598_CR38","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1111\/j.1095-8312.1978.tb00013.x","volume":"10","author":"RR Sokal","year":"1978","unstructured":"Sokal RR, Oden NL (1978) Spatial autocorrelation in biology: 1. methodology. Biol J Linn Soc 10(2):199\u2013228","journal-title":"Biol J Linn Soc"},{"issue":"22","key":"1598_CR39","first-page":"127","volume":"13","author":"XY Sun","year":"2021","unstructured":"Sun XY, Lian WW, Duan HM, Wang AJ (2021) Factors affecting wind power efficiency: Evidence from provincial-level data in china. Sustainability 13(22):127\u2013159","journal-title":"Sustainability"},{"issue":"21","key":"1598_CR40","first-page":"144","volume":"14","author":"JL Sun","year":"2022","unstructured":"Sun JL, Fan PX, Wang K, Yu ZX (2022) Research on the impact of the industrial cluster effect on the profits of new energy enterprises in china: Based on the moran\u2019s i index and the fixed-effect panel stochastic frontier model. Sustainability 14(21):144\u2013169","journal-title":"Sustainability"},{"issue":"2","key":"1598_CR41","first-page":"665","volume":"9","author":"M Wang","year":"2021","unstructured":"Wang M, Zhu YF, Gong SW, Ni CY (2021) Spatiotemporal differences and spatial convergence of the water-energy-food-ecology nexus in northwest china. Front Energy Res 9(2):665\u2013680","journal-title":"Front Energy Res"},{"issue":"5","key":"1598_CR42","first-page":"1","volume":"10","author":"PR Wang","year":"2021","unstructured":"Wang PR, Zeng C, Song Y et al (2021) The spatial effect of administrative division on land-use intensity. Land 10(5):1\u201318","journal-title":"Land"},{"issue":"5","key":"1598_CR43","first-page":"82","volume":"33","author":"YF Wang","year":"2023","unstructured":"Wang YF, Lv WY, Wang MJ, Chen X, Li Y (2023) Application of improved moran\u2019s i in the evaluation of urban spatial development. Spat Stat 33(5):82\u2013101","journal-title":"Spat Stat"},{"issue":"1","key":"1598_CR44","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1080\/10485252.2018.1550197","volume":"31","author":"Y Xiong","year":"2019","unstructured":"Xiong Y, Bingham D, Braun WJ, Hu XJ (2019) Moran\u2019s i statistic-based nonparametric test with spatio-temporal observations. J Nonparametric Stat 31(1):244\u2013267","journal-title":"J Nonparametric Stat"},{"issue":"1","key":"1598_CR45","first-page":"106","volume":"116","author":"J Xu","year":"2022","unstructured":"Xu J, Lv T, Hou XR, Deng X, Li N, Liu F (2022) Spatiotemporal characteristics and influencing factors of renewable energy production in china: A spatial econometric analysis. Energy Econ 116(1):106\u2013139","journal-title":"Energy Econ"},{"issue":"5","key":"1598_CR46","first-page":"120","volume":"32","author":"S Yang","year":"2022","unstructured":"Yang S, Fan BK, Gu Y (2022) Non-linear effects of investment-based environmental regulation on green total factor productivity. China Popul Resour Environ 32(5):120\u2013131","journal-title":"China Popul Resour Environ"},{"issue":"1","key":"1598_CR47","first-page":"1","volume":"194","author":"YY Zhang","year":"2020","unstructured":"Zhang YY (2020) Analysis of the spatial effects of inter-provincial air pollution in China. E3S Web Conf 194(1):1\u20134","journal-title":"E3S Web Conf"},{"key":"1598_CR48","doi-asserted-by":"crossref","unstructured":"Zhang J, Zhang K, Zhao F (2020) Spatial effects of economic growth, energy consumption and environmental pollution in the provinces of china\u2014an empirical study of a spatial econometrics model. Sustain Dev 28(4):868\u2013879","DOI":"10.1002\/sd.2042"},{"issue":"2","key":"1598_CR49","doi-asserted-by":"crossref","first-page":"504","DOI":"10.3390\/en14020504","volume":"14","author":"JP Zhang","year":"2021","unstructured":"Zhang JP, Lu QR, Guan L, Wang XY (2021) Analysis of factors influencing energy efficiency based on spatial quantile autoregression: evidence from the panel data in china. Energies 14(2):504\u2013521","journal-title":"Energies"},{"issue":"4","key":"1598_CR50","first-page":"108","volume":"136","author":"CY Zhang","year":"2022","unstructured":"Zhang CY, Zhao L, Zhang HT (2022) Spatial-temporal characteristics of carbon emissions from land use change in yellow river delta region, china. Ecol Indic 136(4):108\u2013123","journal-title":"Ecol Indic"},{"issue":"11","key":"1598_CR51","doi-asserted-by":"crossref","first-page":"124468","DOI":"10.1016\/j.energy.2022.124468","volume":"255","author":"ZY Zhao","year":"2022","unstructured":"Zhao ZY, Zhang Y, Yang YJ, Yuan SG (2022) Load forecasting via grey model-least squares support vector machine model and spatial-temporal distribution of electric consumption intensity. Energy 255(11):124468\u201314490","journal-title":"Energy"},{"issue":"2","key":"1598_CR52","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.resconrec.2018.06.004","volume":"137","author":"S Zheng","year":"2018","unstructured":"Zheng S, Alvarado V, Xu P, Leu S-Y, Hsu S-C (2018) Exploring spatial patterns of carbon dioxide emission abatement via energy service companies in china. Resour Conserv Recycl 137(2):145\u2013155","journal-title":"Resour Conserv Recycl"},{"key":"1598_CR53","doi-asserted-by":"crossref","unstructured":"Zhou WB, Zhou CZ, Zhang J (2017) Two approaches to blending spatial weights and temporal weights in calculating spatiotemporal autocorrelation, vol 36, no 5, pp 761\u2013764","DOI":"10.1109\/ICISCE.2017.163"},{"issue":"5","key":"1598_CR54","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1007\/s11027-019-09901-5","volume":"25","author":"J Zhu","year":"2020","unstructured":"Zhu J, Sun HP, Zhou DQ, Peng L, Sun CW (2020) Carbon emission efficiency of thermal power in different regions of china and spatial correlations. Mitig Adapt Strateg Glob Chang 25(5):1221\u20131242","journal-title":"Mitig Adapt Strateg Glob Chang"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-024-01598-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-024-01598-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-024-01598-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T08:04:28Z","timestamp":1745654668000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-024-01598-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,12]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["1598"],"URL":"https:\/\/doi.org\/10.1007\/s12145-024-01598-8","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,12]]},"assertion":[{"value":"5 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"36"}}