The United States Census Bureau TIGER dataset contains the 2016 boundaries for the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation. Each feature represents a state or state equivalent.
For full technical details on all TIGER 2016 products, see the TIGER technical documentation.
美国人口普查局的TIGER数据集包含美国主要政府部门的2016年边界。除了50个州之外，人口普查局还将哥伦比亚特区、波多黎各和每个岛屿地区（美属萨摩亚、北马里亚纳群岛联邦、关岛和美属维尔京群岛）作为统计学上的等同于州的地区，以便于数据呈现。每个特征代表一个州或州的等同物。
关于所有TIGER 2016产品的全部技术细节，请参见TIGER技术文件。
Dataset Availability
2016-01-01T00:00:00 - 2017-01-02T00:00:00
Dataset Provider
United States Census Bureau
Collection Snippet
ee.FeatureCollection("TIGER/2016/States")
波段信息：
Name | Type | Description |
|---|---|---|
ALAND | Double | Land area |
AWATER | Double | Water area |
DIVISION | String | Division code |
FUNCSTAT | String | Functional Status |
GEOID | String | State identifier; state FIPS code |
INTPTLAT | String | Internal point latitude |
INTPTLON | String | Internal point longitude |
LSAD | String | Legal/statistical area description for state |
MTFCC | String | MAF/TIGER feature class code (=G4000) |
NAME | String | State name |
REGION | String | Region code |
STATEFP | String | State FIPS code |
STATENS | String | State GNIS code |
STUSPS | String | US Postal Service state abbreviation |
数据使用：
The U.S. Census Bureau offers some of its public data in machine-readable format via an Application Programming Interface (API). All of the content, documentation, code and related materials made available to you through the API are subject to these terms and conditions.
引用：
For the creation of any reports, publications, new data sets, derived products, or services resulting from the data set, users should cite the US Census Bureau.
代码：
代码语言：javascript复制var dataset = ee.FeatureCollection('TIGER/2016/States');
var visParams = {
palette: ['purple', 'blue', 'green', 'yellow', 'orange', 'red'],
min: 500000000.0,
max: 5e 11,
opacity: 0.8,
};
var image = ee.Image().float().paint(dataset, 'ALAND');
Map.setCenter(-99.844, 37.649, 5);
Map.addLayer(image, visParams, 'TIGER/2016/States');
Map.addLayer(dataset, null, 'for Inspector', false);
