This is issue Number 3 for 2019, the first time the Journal of Spatial Science has been published three times in a year. Impact factors for 2018 were released in late June with the Journal achieving an Impact Factor of 1.711, a substantial increase from the 2017 Impact Factor of 1.071. I would also like to welcome a new member to our editorial team, Dr Amy Griffin from RMIT University in Melbourne. Amy will be an asset to the Editorial Board and will contribute in areas including cartography, interactive mapping, UX, reasoning with uncertainty, historical GIS, time geography and health geography. Featherstone, McCubbine, Claessens, Belton and Brown present an important paper on using AUSGeoid2020 and its error grids in surveying computations. Summarised formulas and worked examples for the propagation of geoid and vertical deflection errors through some common geodetic surveying computations, as well as a demonstration of their effects on least squares adjustments of small simulated geodetic networks are presented. A comparison of advanced troposphere models for aiding reduction of PPP convergence time in Australia is provided by Deo and El-Mowafy. The paper analyses the precision of tropospheric zenith total delay values obtained from the empirical models GPT2 and GPT2w, and numerical weather models from Australian Bureau of Meteorology, and European Centre for Medium-Range Weather Forecasts, and makes comparisons at four sites. The development of local spatial data infrastructures in Croatia was examined by Marasović, Crompvoets and Poslončec-Petrić. This nation-wide evaluation is an important assessment of LSDI progress in Croatia. Assessment of the accuracy of kernel smoothing population surface models for Northern Ireland using geographically weighted regression was undertaken by Nejad and Lloyd making use of two sets of census outputs for Northern Ireland. This paper pulls together the benefits of a gridded population data source with local regression procedures to provide a more detailed assessment of surface modelling accuracy than was possible from any previous studies. A paper led by Heng Zhang presents a knowledge reuse framework to solve the problem that modelling knowledge cannot be reused effectively in the process of generating multi-type railway scenes. The experimental results show the method is applicable to unified modelling of different types of 3D railway scenes on the same platform, enabling reuse of primitive models, 3D scenes and modelling knowledge. Cegielska, Kukulska-Kozieł, Salata, Piotrowski and Szylar assessed spatial concentration and quantitative spatial density of anthropogenic elements in their research using Shannon entropy as a peri-urban landscape metric. A research paper led by Arnab Sengupta was used to identify and map high-potential iron ore indicative alteration zones related to new prospects using ASTER and Hyperion data by considering in-situ and reported spectral signatures and band ratio techniques. JOURNAL OF SPATIAL SCIENCE 2019, VOL. 64, NO. 3, 361–362 https://doi.org/10.1080/14498596.2019.1651501

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社论

这是 2019 年的第 3 期，这是《空间科学杂志》首次在一年内出版三期。2018 年的影响因子于 6 月下旬发布，该期刊的影响因子为 1.711，比 2017 年的影响因子 1.071 大幅增加。我还要欢迎来自墨尔本 RMIT 大学的 Amy Griffin 博士加入我们的编辑团队。艾米将成为编辑委员会的资产，并将在制图、交互式地图、用户体验、不确定性推理、历史地理信息系统、时间地理学和健康地理学等领域做出贡献。Featherstone、McCubbine、Claessens、Belton 和 Brown 发表了一篇关于在测量计算中使用 AUSGeoid2020 及其误差网格的重要论文。介绍了通过一些常见的大地测量计算传播大地水准面和垂直偏转误差的总结公式和工作示例，并展示了它们对小型模拟大地测量网络的最小二乘调整的影响。Deo 和 El-Mowafy 提供了有助于减少澳大利亚 PPP 收敛时间的先进对流层模型的比较。本文分析了从经验模型GPT2和GPT2w以及澳大利亚气象局和欧洲中期天气预报中心的数值天气模型获得的对流层天顶总延迟值的精度，并在四个站点进行了比较。Marasović、Crompvoets 和 Poslončec-Petrić 研究了克罗地亚当地空间数据基础设施的发展。这项全国性评估是对克罗地亚 LSDI 进展的重要评估。Nejad 和 Lloyd 利用北爱尔兰的两组人口普查输出，使用地理加权回归对北爱尔兰核平滑人口表面模型的准确性进行了评估。本文将网格化人口数据源的优势与局部回归程序结合起来，以提供比以往任何研究更详细的表面建模精度评估。张恒领导的论文提出了一种知识重用框架，以解决在生成多类型铁路场景过程中建模知识无法有效重用的问题。实验结果表明，该方法适用于在同一平台上对不同类型的铁路3D场景进行统一建模，实现原始模型、3D场景和建模知识的复用。Cegielska、Kukulska-Kozieł、Salata、Piotrowski 和 Szylar 在他们的研究中使用香农熵作为城市周边景观指标评估了人为元素的空间集中度和定量空间密度。由 Arnab Sengupta 领导的一篇研究论文用于通过考虑原位和报告的光谱特征和波段比技术，使用 ASTER 和 Hyperion 数据识别和绘制与新前景相关的高潜力铁矿石指示蚀变带。空间科学杂志 2019，第一卷。64，没有。3、361–362 https://doi.org/10.1080/14498596.2019.1651501 3D场景和建模知识。Cegielska、Kukulska-Kozieł、Salata、Piotrowski 和 Szylar 在他们的研究中使用香农熵作为城市周边景观指标评估了人为元素的空间集中度和定量空间密度。由 Arnab Sengupta 领导的一篇研究论文用于通过考虑原位和报告的光谱特征和波段比技术，使用 ASTER 和 Hyperion 数据识别和绘制与新前景相关的高潜力铁矿石指示蚀变带。空间科学杂志 2019，第一卷。64，没有。3、361–362 https://doi.org/10.1080/14498596.2019.1651501 3D场景和建模知识。Cegielska、Kukulska-Kozieł、Salata、Piotrowski 和 Szylar 在他们的研究中使用香农熵作为城市周边景观指标评估了人为元素的空间集中度和定量空间密度。由 Arnab Sengupta 领导的一篇研究论文用于通过考虑原位和报告的光谱特征和波段比技术，使用 ASTER 和 Hyperion 数据识别和绘制与新前景相关的高潜力铁矿石指示蚀变带。空间科学杂志 2019，第一卷。64，没有。3、361–362 https://doi.org/10.1080/14498596.2019.1651501 由 Arnab Sengupta 领导的一篇研究论文用于通过考虑原位和报告的光谱特征和波段比技术，使用 ASTER 和 Hyperion 数据识别和绘制与新前景相关的高潜力铁矿石指示蚀变带。空间科学杂志 2019，第一卷。64，没有。3、361–362 https://doi.org/10.1080/14498596.2019.1651501 由 Arnab Sengupta 领导的一篇研究论文用于通过考虑原位和报告的光谱特征和波段比技术，使用 ASTER 和 Hyperion 数据识别和绘制与新前景相关的高潜力铁矿石指示蚀变带。空间科学杂志 2019，第一卷。64，没有。3、361–362 https://doi.org/10.1080/14498596.2019.1651501