关于“天地图”合作建设与商业运营模式的思考

简要介绍了“天地图”建设的宗旨和所提供的服务,分析了现有互联网地图服务存在的不足,遵循“分建共享,协同服务”的总体要求,探讨了“天地图”合作建设与商业运营的模式.     

不动产登记协同共享平台建设研究

不动产登记是《中华人民共和国物权法》确立的一项物权制度,《不动产登记暂行条例》于2015年3月1日落地实施.目前我国不动产统一登记信息管理基础平台建设顺利开展.不动产登记协同共享平台是不动产登记信息管理基础平台的重要组成部分,支撑国土、住建、农业、林业、海洋等部门相关业务信息实时互通共享.建设不动产登记协同共享平台是各级不动产登记机构的共同任务,要强化部门间协同,保证不动产登记的相关系统、数据与横向相关部门系统、数据之间的紧密衔接,确保登记信息与相关部门信息互通共享,消除"信息孤岛".本文从不动产登记协同共享平台的定位、协同共享机制、协同共享内容、技术方式等方面进行了研究,并以超图公司的不动产登记协同共享平台解决方案为例,介绍了不动产登记中心与住建房产交易部门的共享.实践证明,通过不动产登记协同共享平台的建设,可以明显减少不动产登记的办理时间,有效地规避登记风险.     

面向"人"的地学可视化探讨

面向"人"地学可视化中的"人".主要从地学可视化系统的使用者(简称"应用人"),从地学可视化要表达的地球表层系统地理环境中的社会人(简称"社会人").以及从作为能地理认知与思维、能表达/传递地理知识及知识创新的"人"(简称"知识人")3个方面定义.从上述3个方面建立了面向"人"的地学可视化概念框架.在面向"应用人"方面,主要介绍了协同可视化以及自我参照可视化;在面向"社会人"方面,主要阐述个体日常行为时空路径可视化、群体行为模拟可视化,以及社会关系网络可视化;在面向"知识人"方面,主要讨论知识可视化.本文最后从本体框架、信息采集与获取技术、数据组织与表达模型、可视化表达方法、主体概念方面,对于面向"人"GIS以及可视化的关键问题与技术进行了探讨.     

协同虚拟地理教学环境的设计与实现

探讨了网络技术和虚拟现实技术支持下的协同虚拟地理教学环境,提出了一种协同虚拟地理教学环境的框架模型,并使用Java和Java 3D开发出原型系统.原型系统在以龙卷风为主题的协同虚拟教学中得到实际应用,效果良好.     

“双评价”视角下基于FLUS模型的武汉大都市区土地利用模拟和城镇开发边界划定研究

城镇开发边界的划定对于保障资源合理利用、促进城镇有序发展具有重要意义。国内现有研究多以规划实践的技术探讨为主,但对资源环境的定量化评估不足,且较少在大都市区尺度开展研究。本文以武汉大都市区为研究案例,提出在耦合多种要素构建“双评价”体系的基础上,结合FLUS模型进行土地利用模拟和城镇开发边界的划定,并运用景观格局指数等对结果进行分析校验。结果表明:① 土地利用模拟KAPPA系数为0.95,总体精度为0.96,能较好的反映未来用地变化情况,且结果显示城镇建设用地呈蔓延式扩张,有必要通过划定边界来控制城镇开发;② 根据模拟结果划定城镇开发边界,能够避免城镇建设集中占用生态或农业价值较高的区域,并在优化形态的基础上改善武汉大都市区的城镇空间布局,有很强的适用性;③ 驱动体系评价表明,相较于单一因子库,“双评价”因子库精度更高,且更能优化景观格局,促进建设用地斑块集聚发展并填补建成区空白,更符合区域发展诉求;④ 扩张结果评价表明划定结果与武汉大都市区的未来发展模式吻合,未来空间管控应重点关注临空港片区、阳逻片区、光谷-未来城片区、纸坊片区扩张的潜在价值。本研究验证了FLUS模型在武汉大都市区内应用的有效性,为规划管控及建设用地布局优化提供一定参考。     

Collaborative personalized multi‐criteria wayfinding for wheelchair users in outdoors

While finding the optimal route for users with physical disabilities and personalizing routes for each user, on the one hand, and collaborative wayfinding, on the other hand, have been addressed in the pedestrian navigation systems literature, there has not been much research on combining the two activities. The problem associated with wayfinding approaches solely based on information about network segments and personal preferences is that the information about segments in the database may not, correctly and/or adequately address user preferences. The problem associated with wayfinding approaches solely based on the ratings given to routes by wheelchair users is the lack of rates (or scores) for all possible routes between all possible origin‐destination pairs in the network. This article discusses an approach to combine these two approaches for wayfinding to augment each other's shortcomings. To evaluate the personalized wayfinding approach, we utilize a route index, called a comparison index. The results show that with a P‐value of 9%, the routes obtained from our approach are more accessible than the routes obtained from another approach developed in another study. To evaluate the collaborative wayfinding approach, a Monte Carlo simulation was conducted which reflects the updates in routes as users' feedbacks become available.     

协同式柔性信息化航测生产管理模型

针对信息化测绘体系下,新兴航测技术更迭加快,航测生产中技术装备和软件扩充、基础地理信息数据增多、技术人员结构化、生产流程复式化导致传统管理模式已无法满足业务发展需求的问题,该文立足航测生产单位实际,分析信息化航测生产发展现状,提出构建协同式柔性航测生产管理模型的方法。基于该模型,设计开发信息化航测生产管理系统。最后,通过四川省遥感信息测绘院信息化测绘生产试点示范基地建设进行应用实践。     

京津冀城市群高科技园区协同发展动力机制与合作共建模式——以中关村科技园为例

在推进京津冀城市群高科技园区的协同发展进程中,三地园区之间是否深度融合,决定京津冀协同发展的质量和深度。目前京津冀城市群的天津与河北高科技园区与中关村科技园签有政府间合作协议的有10家,其对接的产业类型依次为电子信息、先进制造、新能源与节能、环境保护、生物医药产业,与中关村科技园总收入占比居前5位的产业类别恰好相对应。三地园区协同发展动力机制可分为产业梯度转移机制、市场需求吸引机制、科技产业孵化转化机制、政府引导驱动机制、市场合作驱动机制5类。合作共建模式主要有：政府引导驱动机制为主的中关村海淀园秦皇岛分园模式、市场合作驱动的类似于固安工业园的产业新城模式、科技产业孵化转化机制为主的保定中关村创新中心模式等。     

A fitted B-spline method to derive a representative 3D axis from a set of multiple road traces

Collecting data to make an accurate representation for roads is an expensive process. Nevertheless, there is a collaborative alternative for this endeavour. Many drivers, bicyclists and even pedestrians have consumer-grade GPS (low precision) on their smartphones or electronic devices. Those users could transfer their road or track itineraries to a large database in order to compute the accurate geometry of any route. For each road or track, the large database would have many traces from which to infer an accurate representative 3D axis. Several inference methods have been proposed but most of them to fit the 2D trace data set. We propose to create a set of ordered points from the 3D trace data set and then using the least-squares method, to fit a B-spline curve to those points. The resulting parameterized curve will be a good representative 3D axis of the traces. Our method considers the nodes to be evenly separated and allows the system to recommend the number limit of nodes necessary to reach the convergence.     

Personalized travel route recommendation using collaborative filtering based on GPS trajectories

Travelling is a critical component of daily life. With new technology, personalized travel route recommendations are possible and have become a new research area. A personalized travel route recommendation refers to plan an optimal travel route between two geographical locations, based on the road networks and users’ travel preferences. In this paper, we define users’ travel behaviours from their historical Global Positioning System (GPS) trajectories and propose two personalized travel route recommendation methods – collaborative travel route recommendation (CTRR) and an extended version of CTRR (CTRR+). Both methods consider users’ personal travel preferences based on their historical GPS trajectories. In this paper, we first estimate users’ travel behaviour frequencies by using collaborative filtering technique. A route with the maximum probability of a user’s travel behaviour is then generated based on the naïve Bayes model. The CTRR+ method improves the performances of CTRR by taking into account cold start users and integrating distance with the user travel behaviour probability. This paper also conducts some case studies based on a real GPS trajectory data set from Beijing, China. The experimental results show that the proposed CTRR and CTRR+ methods achieve better results for travel route recommendations compared with the shortest distance path method.