文献类型：期刊文献

中文题名：基于CartoDB的神农架国家级自然保护区金丝猴生活习性分析研究

英文题名：Study on the Behavior Habits of the Golden Monkey in Shennongjia National Nature Reserve Based on CartoDB

作者：程全英[1,2] 李凡[1,3] 张晓瑄[2] 夏玉军[2]

第一作者：程全英

机构：[1]中国林业科学研究院资源信息研究所,北京;[2]中国城市规划设计研究院城市规划学术信息中心,北京;[3]东南大学信息科学与工程学院,江苏南京

年份：2018

卷号：7

期号：1

起止页码：38-45

中文期刊名：软件工程与应用

外文期刊名：Software Engineering and Applications

基金：面向天山西部森林生态监测的e-Science平台建设(CAFBB2014ZD004);中央级公益性科研院所基本科研业务费专项资金项目“金丝猴定位跟踪及鸣声采集装置研发与验证”(IFRIT201504)。

语种：中文

中文关键词：CartoDB;金丝猴;定位项圈;生活习性

分类号：G6

摘要：CartoDB是一款基于开源网络应用程序和交互式地图制作工具,能够在web上快速存储和虚拟化地理数据。为了更有效、针对性的对金丝猴进行保护,文章利用神农架国家级自然保护区金丝猴位置监测数据和无线传感网环境监测数据,结合生境数据及坡度信息,对哺乳期金丝猴与非哺乳期金丝猴位置及生活习性进行研究。综合分析得出哺乳期金丝猴更适宜在低纬度、低温、土壤湿度高、区域平缓范围内活动,受人为影响大,非哺乳期金丝猴活动范围纬度跨度较大,温度和土壤湿度影响小,但均在偏高温度和土壤湿度区域活动,在区域平缓和陡坡均较活跃,受人为影响偏小,经常越过道路活动。实验也证明了基于CartoDB无需安装GIS软件即可在有网络的环境下可视化现有数据,具有一定的推广价值。
CartoDB is an open source web application and interactive mapping tool, which can quickly store and virtualize geographic data. To protect golden monkey more effective and targeted, the paper researched the position and behavior habits of golden monkey in lactation and non-lactation period by using the location monitoring data, wireless sensor network environmental monitoring data in Shennongjia Nature Reserve. In the experiment, it is also combined with the habitat data and slope information. Comprehensive analysis concluded that the golden monkey in lactation is more suitable for activities in low latitude, low temperature, high soil moisture and gentle regional range, and is greatly affected by human activities, the activities range of golden monkey in the non-lactation period is larger in latitude span and is less affected by temperature and soil moisture, but they all active in the region of high temperature and soil moisture, and are also more active in the area of gentle and steep slope and are less affected by human being;they frequently cross the road for activities. The experiment proved that the users do not need to install GIS software only by using the browser and visualize the existing data anytime based on CartoDB, which deserved to be generalized.