Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.Spatial statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of dependence structures, and drawing of valid inference from a limited set of spatio-temporal data. Application fields includeThe physical domains, e.g. agriculture, geology, soil science, hydrology, ecology, mining, oceanography, forestry, air quality, remote sensingThe social/economic domains, e.g. spatial econometrics, epidemiology and disease mapping.Spatial Statistics aims to publish reproducible science. Authors are encouraged to submit and publish procedures and data, along with the manuscript.

空間統(tǒng)計發(fā)表關(guān)于空間和時空統(tǒng)計的理論和應(yīng)用的文章。它傾向于那些由新應(yīng)用產(chǎn)生的理論或?qū)⑿吕碚搼?yīng)用于重要實際案例的手稿。純理論研究很少被接受。沒有方法發(fā)展的純案例研究是不能發(fā)表的。空間統(tǒng)計是對空間和時空數(shù)據(jù)進(jìn)行定量分析，包括其統(tǒng)計相關(guān)性、準(zhǔn)確性和不確定性。空間統(tǒng)計方法在概率論、隨機(jī)建模、數(shù)理統(tǒng)計以及信息科學(xué)中都有廣泛的應(yīng)用。空間統(tǒng)計用于映射、評估空間數(shù)據(jù)質(zhì)量、抽樣設(shè)計優(yōu)化、依賴結(jié)構(gòu)建模以及從有限的時空數(shù)據(jù)集繪制有效推理。應(yīng)用領(lǐng)域包括物理領(lǐng)域，如農(nóng)業(yè)、地質(zhì)學(xué)、土壤科學(xué)、水文學(xué)、生態(tài)學(xué)、采礦、海洋學(xué)、林業(yè)、空氣質(zhì)量、遙感社會/經(jīng)濟(jì)領(lǐng)域，例如空間計量經(jīng)濟(jì)學(xué)、流行病學(xué)和疾病地圖。空間統(tǒng)計的目的是發(fā)表可重復(fù)的科學(xué)。作者被鼓勵提交和出版程序和數(shù)據(jù)，連同手稿。