Lumen企业数据的光纤管理和GIS存储库，
Fiber Management & GIS Repository for Lumen Enterprise Data, (2023-10-02, Python, 0KB, 下载0次)
在博尔德城的企业地理数据库中创建从平面数据派生的Impervious Surfaces层。，
Creates an ImperviousSurfaces layer inside the City of Boulder s enterprise geodatabase that is derived from planimetric data., (2023-09-18, Python, 0KB, 下载0次)
一个脚本，在博尔德市的企业地理数据库中编辑和生成唯一ID，
A script that edits and generates unique IDs inside the City of Boulder s enterprise geodatabase, (2023-09-13, Python, 0KB, 下载0次)
这是一次尝试，以复制由Frank Hereford在奥斯汀交通和公共城创建的名为Polygonizer的QGIS插件...，
This is an attempt to replicate the QGIS plug-in called Polygonizer created by Frank Hereford at City of Austin Transportation and Public Works Department (2023-09-08, Python, 0KB, 下载0次)
从Salesforce中提取311个数据并将其加载到企业GIS中，
Extracts and loads 311 data from Salesforce into the enterprise GIS, (2023-02-21, Python, 0KB, 下载0次)
QwikGeo是用于GIS门户的企业级api。，
QwikGeo is a enterprise scale api for a GIS portal., (2023-02-14, Python, 0KB, 下载0次)
吉林省永吉县存在大量的斜坡地质灾害，为了给永吉县斜坡地质灾害的防治和预警提供高效直观的分析模型，将吉林省永吉县作为研究区，选取高程、坡度、坡向、剖面曲率、平面曲率、距断层距离、岩性、距河流距离、年均降雨量、地形湿度指数和植被覆盖指数等11 个评价因子，利用神经网络模型进行区域斜坡地质灾害易发性分析，再选用频率比、支持向量机模型进行对比。利用ＲOC曲线对模型的准确性进行验证分析，得出神经网络、频率比和支持向量机模型的成功率分别是91. 3%、89. 3%、90. 2%，预测率分别是87. 3%、84.3%、85. 6%。结果表明: 神经网络模型的精度最高，更适用于永吉县斜坡地质灾害的易发性评价
There are a lot of slope geological disasters in Yongji County, Jilin Province. In order to provide an efficient and intuitive analysis model for the prevention and early warning of slope geological disasters, Yongji County, Jilin Province is selected as the research area, which includes elevation, slope, slope direction, section curvature, plane curvature, distance from fault, lithology, distance from river, annual rainfall, terrain humidity index and vegetation coverage index 11 evaluation factors, using neural network model to analyze the vulnerability of regional slope geological hazards, and then using frequency ratio, support vector machine model for comparison. (2020-04-11, Python, 16931KB, 下载6次)
产品应用行业：
电力、水利、测绘、通信、光伏、物流、石油、国土、农业、林业、环保、环评、矿山、海洋、物探、规划设计、数字城市、数字城管、综合应急、智能交通、公共卫生、园林设计、环境监测、道路勘测、地灾调查、房地产、地震、消防、公安、商业、燃气、排水、广告、考古、保险和教育等行业。
Product application industry:
Electricity, water conservancy, water conservancy, surveying and mapping, communications, photovoltaic, logistics, oil, land, agriculture, forestry, environmental assessment, environmental assessment, mine, ocean, geophysical, planning and design, digital city, digital city pipe, comprehensive emergency, intelligent transportation, public health, garden design, environmental monitoring, road survey, land disaster survey, real estate, Industries such as earthquake, fire, public security, commerce, gas, drainage, advertising, archaeology, insurance and education. (2018-04-22, Python, 43542KB, 下载49次)