An Aggregate Constraint Method for Inequality-constrained Least Squares Problems

The inequality-constrained least squares (ICLS) problem can be solved by the simplex algorithm of quadratic programming. The ICLS problem may also be reformulated as a Bayesian problem and solved by using the Bayesian principle. This paper proposes using the aggregate constraint method of non-linear programming to solve the ICLS problem by converting many inequality constraints into one equality constraint, which is a basic augmented Lagrangean algorithm for deriving the solution to equality-constrained non-linear programming problems. Since the new approach finds the active constraints, we can derive the approximate algorithm-dependent statistical properties of the solution. As a result, some conclusions about the superiority of the estimator can be approximately made. Two simulated examples are given to show how to compute the approximate statistical properties and to show that the reasonable inequality constraints can improve the results of geodetic network with an ill-conditioned normal matrix.     

2-level r-tree index based on spatial grids and Hilbert R-tree

IntroductionSpatial index is the data structure between spatialoperation algorithms and spatial data objects, and itis usually used to improve the efficiency of spatialdata operations. Spatial index is one of the funda-ment techniques to manage the spatia…     

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.     

GPS动态定位中机动随机模型分析

给出了载体状态方程的严密公式和常用近似公式,详细讨论了两者之间的区别。在高精度GPS动态定位中的应用证明,常用近似公式对载体速度和加速度有显著的影响。     

BS-ACEBOC: a generalized low-complexity dual-frequency constant-envelope multiplexing modulation for GNSS

GPS Solutions - In order to satisfy the need for combining signals in a constant-envelope modulation, we propose a new dual-frequency constant-envelope modulation (DCEM), called asymmetric...     

Enhanced orbit determination for BeiDou satellites with FengYun-3C onboard GNSS data

GPS Solutions - A key limitation for precise orbit determination of BeiDou satellites, particularly for satellites in geostationary orbit (GEO), is the relative weak geometry of ground stations....     

晚更新世以来东昆仑山区黄土沉积及其气候意义

分布于东昆仑山北坡、发育于距今约24kaB.P.以来的高海拔黄土提供了东昆仑山区晚更新世以来气候变化的完整记录。根据黄土岩性、粒度、重矿物及其地磁分析,结合本区内的古冻土研究结果,东昆仑山约24kaB.P.以来经历了晚更新世末寒冷期(24～10.7kaB.P.);早全新世转暖期(10.7～8.8kaB.P.);中全新世暖湿期(8.8～6.0kaB.P.);中全新世暖干期(6.0～4.5kaB.P.);全新世后期(4.5kaB.P.)以来等气候演化阶段。     

基于GeoDA-GIS的四川省县域经济空间分异研究

选取14项经济指标,构建一个充分反映县域经济发展水平的指标体系,采用因子分析法,结合探索性空间数据分析(ESDA)方法与GIS、GeoDA空间分析工具,得出四川县域经济发展水平的差异性及空间分异特征。结果表明,四川省181个县域单元的经济差异较大,总体上,经济发达县域处于川东盆地区,经济落后县域分布于川西高原区;全局自相关特征明显,全局Moran s I指数达0.634 4,县域经济发展水平存在显著的空间集聚特征;局部空间自相关分析和Moran聚集图、LISA聚集图更具体、直观地显示了县域经济空间集聚位置和分布特征,进一步揭示了四川县域经济发展的热区和盲区。     

鄂尔多斯高原景观格局变化分析--以伊金霍洛旗为例

以位于内蒙古鄂尔多斯高原上的伊金霍洛旗为研究区域，以景观生态学的数量分析方法为基本手段，在土地利用现状分类体系下，以其1984、1991和1998年3个年度的土地利用图为基础。从区域和斑块类型两个尺度上，对其景观格局进行了数量分析。结果表明，在三个典型年度。天然草地为伊金霍洛旗的景观基质，景观格局指数的所有变化均是在此基础上发生和演变的。从整个景观尺度的格局指数变化情况显示，伊金霍洛旗景观的破碎化程度在增加；同时景观的异质性程度在下降，景观愈来愈有少数景观斑块类型所控制。而在斑块类型这一尺度上的格局指数变化说明，不同类型斑块的复杂性的变化趋势基本相同，即均有不同程度的增长，但增加幅度有限；同时还说明，不同类型斑块内部其大小差异的幅度在不断缩小。但从不同年度的变化情况来看，无论是区域还是不同的斑块类型，其格局指数的变化并不与总体的变化趋势同步。     

Pollution trend in the tumen river and its influence on regional development

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