미국 인구조사국에서는 TIGER라는 지리 데이터베이스를 정기적으로 출시합니다. 이 데이터 세트에는 2020년 인구조사 트랙이 포함되어 있습니다. 인구 조사 지역은 매우 다양하지만 도시 지역에서는 대략 동네와 같습니다. 미국, 워싱턴 DC, 푸에르토리코, 섬 지역을 포함하는 다각형 피처는 85,000개가 넘습니다.
모든 TIGER 2020 제품에 관한 전체 기술 세부정보는 TIGER 기술 문서를 참고하세요.
표 스키마
표 스키마
이름
유형
설명
ALAND
DOUBLE
토지 면적 (제곱미터)
AWATER
DOUBLE
물 면적 (제곱미터)
COUNTYFP
문자열
군 FIPS 코드
FUNCSTAT
문자열
기능 상태 (S = 통계)
GEOID
문자열
요약 수준, 특성 반복, 미국, 주, 카운티, 트랙, 블록 그룹 코드의 고유 식별자
INTPTLAT
DOUBLE
내부 포인트 위도
INTPTLON
DOUBLE
내부 지점 경도
MTFCC
문자열
MAF/TIGER 지형지물 분류 코드
이름
문자열
2020년 인구 조사 지역 이름: 이는 인구 조사 지역 코드이며, 코드의 마지막 두 문자가 모두 0이 아닌 경우 정수 또는 정수와 2자리 십진수로 변환됩니다.
NAMELSAD
문자열
전체 이름
STATEFP
문자열
주 FIPS 코드
TRACTCE
문자열
인구조사 구역 코드
이용약관
이용약관
미국 인구조사국은 애플리케이션 프로그래밍 인터페이스(API)를 통해 일부 공개 데이터를 머신 리더블 형식으로 제공합니다. API를 통해 제공되는 모든 콘텐츠, 문서, 코드, 관련 자료에는 이 약관이 적용됩니다.
인용
인용:
데이터 세트에서 파생된 보고서, 간행물, 새 데이터 세트, 파생 제품 또는 서비스를 만드는 경우 사용자는 미국 인구조사국을 인용해야 합니다.
미국 인구조사국은 TIGER라는 지리 데이터베이스를 정기적으로 출시합니다. 이 데이터 세트에는 2020년 인구 조사 표준 지역이 포함되어 있습니다. 인구조사 지역은 매우 다양하지만 도시 지역에서는 대략 동에 해당합니다. 미국, 워싱턴 D.C., 푸에르토리코를 포함한 지역을 커버하는 85, 000개 이상의 다각형 피처가 있습니다.
[null,null,[],[[["\u003cp\u003eThe TIGER/2020/TRACT dataset provides 2020 US Census tract boundaries, covering the United States, District of Columbia, Puerto Rico, and Island areas.\u003c/p\u003e\n"],["\u003cp\u003eCensus tracts are roughly equivalent to neighborhoods in urban areas and are represented as polygons, totaling over 85,000 features.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset includes attributes like land and water area, geographic identifiers, and census tract names.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and analyze the dataset through Google Earth Engine using provided code snippets and FeatureView for visualization.\u003c/p\u003e\n"],["\u003cp\u003eThe data is subject to US Census Bureau terms of use and requires proper citation when used in publications or derived products.\u003c/p\u003e\n"]]],[],null,["# TIGER: US Census Tracts\n\nDataset Availability\n: 2020-01-01T00:00:00Z--2020-01-02T00:00:00Z\n\nDataset Provider\n:\n\n\n [United States Census Bureau](https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)\n\nTags\n:\n[census](/earth-engine/datasets/tags/census) [city](/earth-engine/datasets/tags/city) [infrastructure-boundaries](/earth-engine/datasets/tags/infrastructure-boundaries) [neighborhood](/earth-engine/datasets/tags/neighborhood) [table](/earth-engine/datasets/tags/table) [tiger](/earth-engine/datasets/tags/tiger) [urban](/earth-engine/datasets/tags/urban) [us](/earth-engine/datasets/tags/us) \n\n#### Description\n\nThe United States Census Bureau regularly releases\na geodatabase named TIGER. This dataset contains the 2020 census\ntracts. Tract areas vary tremendously, but in urban areas are roughly\nequivalent to a neighborhood. There are just over\n85000 polygon features covering the United States, the District\nof Columbia, Puerto Rico, and the\n[Island areas](https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/release/2020-island-areas-data-products.html).\n\nFor full technical details on all TIGER 2020 products, see the\n[TIGER technical documentation](https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdf).\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|----------|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ALAND | DOUBLE | Land Area (square meters) |\n| AWATER | DOUBLE | Water Area (square meters) |\n| COUNTYFP | STRING | County FIPS Code |\n| FUNCSTAT | STRING | Functional Status (S = Statistical) |\n| GEOID | STRING | Unique Identifier of Summary Level, Characteristic Iteration, US, State, County, Tract, Block Group Code |\n| INTPTLAT | DOUBLE | Internal Point Latitude |\n| INTPTLON | DOUBLE | Internal Point Longitude |\n| MTFCC | STRING | MAF/TIGER Feature Classification Code |\n| NAME | STRING | 2020 Census tract name: this is the census tract code converted to an integer or integer plus 2-character decimal if the last two characters of the code are not both zeros. |\n| NAMELSAD | STRING | Full Name |\n| STATEFP | STRING | State FIPS Code |\n| TRACTCE | STRING | Census Tract Code |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe U.S. Census Bureau offers some of its public data\nin machine-readable format via an Application Programming Interface\n(API). All of the content, documentation, code and related materials\nmade available to you through the API are subject to [these terms and\nconditions](https://www.census.gov/data/developers/about/terms-of-service.html).\n\n### Citations\n\nCitations:\n\n- For the creation of any reports, publications, new data sets, derived\n products, or services resulting from the data set, users should\n [cite the US Census Bureau](https://www.census.gov/about/policies/citation.html).\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.FeatureCollection('TIGER/2020/TRACT');\n\nvar visParams = {\n min: 0.0,\n max: 1e7,\n palette: ['d8d9d9', 'aaaaaa', 'b6dfe9', '2ea3f2', '0c71c3']\n};\n\n// plotting the water area per polygon\ndataset = dataset.map(function (f) {\n return f.set('AWATER', ee.Number.parse(f.get('AWATER')));\n});\n\n\nvar image = ee.Image().float().paint(dataset, 'AWATER');\n\nMap.setCenter(-81.99172, 29.74101, 6);\nMap.addLayer(ee.Image(1), {min:0, max:1}, 'background');\nMap.addLayer(image, visParams, 'TIGER/2020/TRACT');\nMap.addLayer(dataset, null, 'for Inspector', false);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/TIGER/TIGER_2020_TRACT)\n\n### Visualize as a FeatureView\n\n\nA `FeatureView` is a view-only, accelerated representation of a\n`FeatureCollection`. For more details, visit the\n[`FeatureView` documentation.](/earth-engine/guides/featureview_overview)\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar fvLayer = ui.Map.FeatureViewLayer('TIGER/2020/TRACT_FeatureView');\n\nvar visParams = {\n opacity: 1,\n color: {\n property: 'AWATER',\n mode: 'linear',\n palette: ['d8d9d9', 'aaaaaa', 'b6dfe9', '2ea3f2', '0c71c3'],\n min: 0,\n max: 1e7\n }\n};\n\nfvLayer.setVisParams(visParams);\nfvLayer.setName('Water area by US census tract');\n\nMap.setCenter(-73.15, 40.9, 9);\nMap.add(fvLayer);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/TIGER/TIGER_2020_TRACT_FeatureView) \n[TIGER: US Census Tracts](/earth-engine/datasets/catalog/TIGER_2020_TRACT) \nThe United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census tracts. Tract areas vary tremendously, but in urban areas are roughly equivalent to a neighborhood. There are just over 85000 polygon features covering the United States, the District of Columbia, Puerto Rico, and ... \nTIGER/2020/TRACT, census,city,infrastructure-boundaries,neighborhood,table,tiger,urban,us \n2020-01-01T00:00:00Z/2020-01-02T00:00:00Z \n-14.69 -180 71.567 -64.435 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TRACT)"]]