3S技术在建立苏州房地产市场价格评估应用系统中的应用

随着房地产市场开发程度的不断提高,房地产市场价格评估行为在城市经济发展中的作用日显重要,如何应用各种先进的技术手段作为房地产市场价格评估体系的技术支撑和评估依据摆在每个房地产价格评估从业人员的面前.本文就利用GPS GIS RS及数据库技术,就建立苏州房地产市场价格评估应用系统进行了有建设性的尝试.     

基于“天地图·永定”的永定旅游地图服务网设计与实现

"天地图·永定"是永定区统一、权威、标准的地理信息公共平台,本文利用"天地图·永定"提供的丰富的数据服务和二次开发接口,开发了永定旅游地图服务网,实现了永定旅游服务和"天地图"的融合,为游客提供便捷、丰富的旅游服务,对永定区的旅游发展起到了一定的推动作用。     

Context inference and prediction modeling in ubiquitous health GIS

The ever‐increasing population in cities intensifies environmental pollution that increases the number of asthmatic patients. Other factors that may influence the prevalence of asthma are atmospheric parameters, physiographic elements and personal characteristics. These parameters can be incorporated into a model to monitor and predict the health conditions of asthmatic patients in various contexts. Such a model is the base for any asthma early warning system. This article introduces a novel ubiquitous health system to monitor asthmatic patients. Ubiquitous systems can be effective in monitoring asthmatic patients through the use of intelligent frameworks. They can provide powerful reasoning and prediction engines for analyzing various situations. Our proposed model encapsulates several tools for preprocessing, reasoning and prediction of asthma conditions. In the preprocessing phase, outliers in the atmospheric datasets were detected and missing sensor data were estimated using a Kalman filter, while in the reasoning phase, the required information was inferred from the raw data using some rule‐based inference techniques. The asthmatic conditions of patients were predicted accurately by a Graph‐Based Support Vector Machine in a Context Space (GBSVMCS) which functions anywhere, anytime and with any status. GBSVMCS is an improved version of the common Support Vector Machine algorithm with the addition of unlabeled data and graph‐based rules in a context space. Based on the stored value for a patient's condition and his/her location/time, asthmatic patients can be monitored and appropriate alerts will be given. Our proposed model was assessed in Region 3 of Tehran, Iran for monitoring three different types of asthma: allergic, occupational and seasonal asthma. The input data to our system included air pollution data, the patients’ personal information, patients’ locations, weather data and geographical information for 270 different situations. Our results showed that 90% of the system's predictions were correct. The proposed model also improved the estimation accuracy by 15% in comparison to conventional methods.     

GIS空间分析与模糊综合评判在银行ATM网点选址中的应用

空间分析是GIS的核心和灵魂,是GIS区别于一般信息系统的主要标志之一。运用GIS空间分析中的叠置分析、缓冲区分析、网络分析等功能对自动柜员机(ATM)网点进行选址,应用模糊综合评判模型对选址区位评价确定出ATM布放的最终布局,并通过实例验证该方法能为在ATM网点选址中提供决策依据,最后探讨了今后研究的方向。     

数字海洋地图无缝拼接的研究

从目前数字海洋地图的现状出发,针对数字海洋地图由分幅存储方式带来的叠幅（图幅间存在重叠区域）和缝隙两个问题,提出了一种无缝拼接的算法。算法可去除图幅之间的重叠区域,并且可以有效去除由分幅导致的缝隙,将多个图幅的图层要素拼接为物理无缝的数据。     

针对海陆图融合的数字海图自动预处理及实现

通过深入分析数字海图在分幅、坐标系统、投影等方面的特殊性,研究了数字海图在投影和坐标系统等方面的基本预处理技术,解决了数字海图无投影信息和本图坐标系统等造成的问题;并编写程序实现了数字海图的自动批量化预处理,效率高,误差小,解决了实际问题,为数字海图在数据融合、更新等方面的进一步应用提供了前提保障.     

航空重力测量中的厄特弗斯改正

为提高航空重力测量数据的处理精度,在分析厄特弗斯改正计算模型的基础上,研究飞机的速度误差、方位误差和位置误差对厄特弗斯改正的精度影响,进一步研究模型中平方项对滤波处理的影响。结果表明：速度误差是影响厄特弗斯改正精度的主要因素,另外,厄特弗斯改正不需要进行滤波处理。     

基于GIS的延庆县村镇民俗旅游资源评价、分析与规划研究

本文运用层次分析法对延庆县村镇民俗旅游资源进行综合评价,定量确定主要景点的可开发潜力值。然后借助GIS技术,对旅游资源的结构和空间分布特征进行分析。最后根据分析结果和综合评价分值,以开发潜力值作为分级指标,将延庆县村镇民俗旅游资源规划为5个开发潜力区,并结合各个区的自身优势提出其发展的思路和方向。     

A new method for GLONASS inter-frequency bias estimation based on long baselines

GPS Solutions - Frequency division multiplexing of GLONASS signals causes inter-frequency bias (IFB) in receiving equipment. IFB significantly increases the difficulties of fixing GLONASS...