有没有相关的论文或文献参考？
这个数据集是基于什么背景创建的？
数据集的作者是谁？
能帮我联系到这个数据集的作者吗？
这个数据集如何下载？
geo-ne-admin1-us|地理信息系统数据集|地图制作数据集
收藏github2024-03-22 更新2024-05-31 收录
下载链接：
https://github.com/datasets/geo-ne-admin1-us
下载链接
链接失效反馈资源简介：
提供美国各州的地理数据，包括geojson多边形。数据来源于Natural Earth，旨在制作小比例尺下视觉上令人愉悦的地图。数据集详细记录了每个州的名称、代码、国家名称等信息。
创建时间：
2016-03-29
原始信息汇总
数据集概述
数据来源
数据来源于Natural Earth，这是一个社区努力制作视觉上吸引人、精心制作的地图的项目，适用于使用制图或GIS软件的小规模地图制作。
数据内容
该数据集涵盖美国各州的地理信息。每个州（admin1）的形状数据包含以下字段：
- name：州的常用名称
- id：Natural Earth的
adm1_code，用于国家内的行政区划。具体代码含义在文档中未明确说明，可能是FIPS代码。 - code：州的两个字母代码
- country：国家名称
- ISO3166-1-Alpha-3：国家的三个字母ISO代码
数据许可
所有数据均在Open Data Commons Public Domain Dedication and License下发布。原始数据来自Natural Earth，属于公共领域。虽然不需要正式的致谢，但对Natural Earth、Lexman和Open Knowledge Foundation的致谢非常受欢迎。
所有源代码在MIT许可证下发布。
AI搜集汇总
数据集介绍
构建方式
geo-ne-admin1-us数据集基于Natural Earth项目的数据构建，该项目致力于通过制图或GIS软件制作视觉上令人愉悦且精细的小比例尺地图。该数据集涵盖了美国各州的GeoJSON多边形数据，具体包括州名、ID、州代码、国家名称以及ISO3166-1-Alpha-3国家代码等字段。数据的来源和结构均经过精心设计，以确保其在地理信息系统中的可用性和准确性。
特点
该数据集的特点在于其数据的全面性和精确性。它不仅提供了美国各州的GeoJSON多边形数据，还包含了多个关键字段，如州名、ID、州代码等，这些字段为地理信息的查询和分析提供了便利。此外，数据来源于Natural Earth项目，确保了数据的权威性和可靠性。数据集采用Open Data Commons Public Domain Dedication and License许可，允许用户自由使用和共享。
使用方法
使用geo-ne-admin1-us数据集时，用户可以通过加载GeoJSON文件来获取美国各州的地理边界信息。数据集中的字段可用于进一步的地理信息分析，如州名匹配、ID查询等。用户还可以将数据导入GIS软件中进行可视化或与其他地理数据进行叠加分析。由于数据采用开放许可，用户无需担心版权问题，可以自由地进行二次开发和共享。
背景与挑战
背景概述
geo-ne-admin1-us数据集是一个提供美国各州地理多边形信息的GeoJSON数据包，源自Natural Earth项目。Natural Earth是一个社区驱动的项目，旨在为小比例尺地图制作提供视觉上令人愉悦且精心设计的地理数据。该数据集涵盖了美国的一级行政区划，即各州，包含了每个州的名称、ID、代码、国家名称以及ISO3166-1-Alpha-3代码等字段。该数据集的创建时间不详，但其数据来源于Natural Earth，该项目自2009年以来一直为地理信息系统（GIS）和制图软件提供高质量的地理数据。geo-ne-admin1-us数据集在地理信息系统、地图制作和空间分析等领域具有重要应用价值，为研究人员和开发者提供了便捷的地理数据资源。
当前挑战
geo-ne-admin1-us数据集在解决地理信息系统中的行政区划数据需求方面面临一些挑战。首先，数据集中的ID字段（Natural Earth的adm1_code）缺乏明确的文档说明，导致用户在使用时可能难以理解其具体含义和编码规则。其次，尽管数据集提供了各州的基本信息，但在处理更复杂的空间分析任务时，可能需要额外的属性数据或更高精度的地理信息。此外，数据集的构建依赖于Natural Earth项目，其数据更新频率和覆盖范围可能无法满足所有用户的需求。在数据集的构建过程中，如何确保数据的准确性、一致性和完整性，以及如何处理不同来源数据的兼容性问题，都是需要克服的技术挑战。
常用场景
经典使用场景
geo-ne-admin1-us数据集广泛应用于地理信息系统（GIS）和地图制作领域，特别是在需要精确描绘美国各州边界的地理分析中。该数据集提供了美国各州的GeoJSON多边形数据，使得研究人员和开发者能够轻松地在各种GIS软件中加载和使用这些数据，进行空间分析和可视化。
衍生相关工作
基于geo-ne-admin1-us数据集，许多经典的地理信息科学研究得以展开。例如，研究人员利用该数据集开发了新的空间分析算法，用于预测自然灾害的影响范围；此外，该数据集还被用于开发交互式地图应用，使得用户能够直观地查看和分析美国各州的地理信息。这些衍生工作不仅推动了地理信息科学的发展，也为相关领域的实际应用提供了有力支持。
数据集最近研究
最新研究方向
在GIS和地理信息科学领域，geo-ne-admin1-us数据集为美国各州的行政区划提供了精确的地理多边形数据，成为研究区域规划、环境监测和灾害管理的重要基础。随着大数据和人工智能技术的快速发展，该数据集在空间分析、智能交通系统和城市规划中的应用日益广泛。特别是在气候变化和自然灾害频发的背景下，研究者利用该数据集进行灾害风险评估和应急响应规划，显著提升了决策的科学性和时效性。此外，结合机器学习算法，该数据集还被用于预测区域经济发展趋势和人口迁移模式，为政策制定者提供了有力的数据支持。
以上内容由AI搜集并总结生成
数据主题
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集
jpft/danbooru2023
Danbooru2023是一个大规模的动漫图像数据集，包含超过500万张由爱好者社区贡献并详细标注的图像。图像标签涵盖角色、场景、版权、艺术家等方面，平均每张图像有30个标签。该数据集可用于训练图像分类、多标签标注、角色检测、生成模型等多种计算机视觉任务。数据集基于danbooru2021构建，扩展至包含ID #6,857,737的图像，增加了超过180万张新图像，总大小约为8TB。图像以原始格式提供，分为1000个子目录，使用图像ID的模1000进行分桶，以避免文件系统性能问题。
hugging_face 收录
Canadian Census
**Overview** The data package provides demographics for Canadian population groups according to multiple location categories: Forward Sortation Areas (FSAs), Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs), Federal Electoral Districts (FEDs), Health Regions (HRs) and provinces. **Description** The data are available through the Canadian Census and the National Household Survey (NHS), separated or combined. The main demographic indicators provided for the population groups, stratified not only by location but also for the majority by demographical and socioeconomic characteristics, are population number, females and males, usual residents and private dwellings. The primary use of the data at the Health Region level is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information to monitor, plan, implement and evaluate programs to improve the health of Canadians and the efficiency of health services. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the health region data to raise awareness about health, an issue of concern to all Canadians. The Census population counts for a particular geographic area representing the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be 'non-permanent residents'. National Household Survey (NHS) provides demographic data for various levels of geography, including provinces and territories, census metropolitan areas/census agglomerations, census divisions, census subdivisions, census tracts, federal electoral districts and health regions. In order to provide a comprehensive overview of an area, this product presents data from both the NHS and the Census. NHS data topics include immigration and ethnocultural diversity; aboriginal peoples; education and labor; mobility and migration; language of work; income and housing. 2011 Census data topics include population and dwelling counts; age and sex; families, households and marital status; structural type of dwelling and collectives; and language. The data are collected for private dwellings occupied by usual residents. A private dwelling is a dwelling in which a person or a group of persons permanently reside. Information for the National Household Survey does not include information for collective dwellings. Collective dwellings are dwellings used for commercial, institutional or communal purposes, such as a hotel, a hospital or a work camp. **Benefits** - Useful for canada public health stakeholders, for public health specialist or specialized public and other interested parties. for health surveillance and population health research. for monitoring, planning, implementation and evaluation of health-related programs. media agencies may use the health regions data to raise awareness about health, an issue of concern to all canadians. giving the addition of longitude and latitude in some of the datasets the data can be useful to transpose the values into geographical representations. the fields descriptions along with the dataset description are useful for the user to quickly understand the data and the dataset. **License Information** The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes. **Included Datasets** - [Canadian Population and Dwelling by FSA 2011](https://www.johnsnowlabs.com/marketplace/canadian-population-and-dwelling-by-fsa-2011) - This Canadian Census dataset covers data on population, total private dwellings and private dwellings occupied by usual residents by forward sortation area (FSA). It is enriched with the percentage of the population or dwellings versus the total amount as well as the geographical area, province, and latitude and longitude. The whole Canada's population is marked as 100, referring to 100% for the percentages. - [Detailed Canadian Population Statistics by CMAs and CAs 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-cmas-and-cas-2011) - This dataset covers the population statistics of Canada by Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs). It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by FED 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-fed-2011) - This dataset covers the population statistics of Canada from 2011 by Federal Electoral District of 2013 Representation Order. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by Health Region 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-health-region-2011) - This dataset covers the population statistics of Canada by health region. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by Province 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-province-2011) - This dataset covers the population statistics of Canada by provinces and territories. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. **Data Engineering Overview** **We deliver high-quality data** - Each dataset goes through 3 levels of quality review - 2 Manual reviews are done by domain experts - Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints - Data is normalized into one unified type system - All dates, unites, codes, currencies look the same - All null values are normalized to the same value - All dataset and field names are SQL and Hive compliant - Data and Metadata - Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters - Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated - Data Updates - Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted **Our data is curated and enriched by domain experts** Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts: - Field names, descriptions, and normalized values are chosen by people who actually understand their meaning - Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset - Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations - The data is always kept up to date – even when the source requires manual effort to get updates - Support for data subscribers is provided directly by the domain experts who curated the data sets - Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution. **Need Help?** If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
Databricks 收录
中国农村金融统计数据
该数据集包含了中国农村金融的统计信息，涵盖了农村金融机构的数量、贷款余额、存款余额、金融服务覆盖率等关键指标。数据按年度和地区分类，提供了详细的农村金融发展状况。
www.pbc.gov.cn 收录
网易云音乐数据集
该数据集包含了网易云音乐平台上的歌手信息、歌曲信息和歌单信息，数据通过爬虫技术获取并整理成CSV格式，用于音乐数据挖掘和推荐系统构建。
github 收录
Titanic Dataset
Titanic Data Analysis: A Journey into Passenger Profiles and Survival Dynamics
kaggle 收录