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Areas with High Aedes Population (GEOJSON)
Last updated: 06 Jun 2024, 14:38 SGT
Attribute Legend
| Attributes | Data Type | Description |
|---|---|---|
| Name | Text | - |
| Description | Text | - |
Dataset preview
This code can be used to view the raw JSON dataset for Areas with High Aedes Population (GEOJSON). Large datasets may be truncated in the preview. Please download the dataset for complete data.
{
"type": "FeatureCollection",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
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{ "type": "Feature", "properties": { "Name": "kml_3", "Description": "<center><table><tr><th colspan='2' align='center'><em>Attributes<\/em><\/th><\/tr><tr bgcolor=\"#E3E3F3\"> <th>DESCRIPTION<\/th> <td>FL454 - Ang Mo Kio Ave 4 \/ Ang Mo Kio Ave 5 \/ Ang Mo Kio Ave 6 \/ Ang Mo Kio Ave 9 \/ Ang Mo Kio St 61<\/td> <\/tr><tr bgcolor=\"\"> <th>NAME<\/th> <td>High Aedes Mosquitoes Population Area. Let's fight Dengue together. Do the Mozzie Wipe-out today.<\/td> <\/tr><tr bgcolor=\"#E3E3F3\"> <th>HYPERLINK<\/th> <td>https:\/\/www.nea.gov.sg\/dengue-zika\/Aedes<\/td> <\/tr><tr bgcolor=\"\"> <th>INC_CRC<\/th> <td>F4C8BBAC68538255<\/td> <\/tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D<\/th> <td>20230516195312<\/td> <\/tr><\/table><\/center>" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 103.842000048101994, 1.37956625301641, 0.0 ], [ 103.842113341165003, 1.37955404820354, 0.0 ], [ 103.843026938744003, 1.3796369449879, 0.0 ], [ 103.843127521563005, 1.37964609854783, 0.0 ], [ 103.844393486185993, 1.37This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation
import requests
dataset_id = "d_5d060d8b7838a15e8906fb22c50dbf51"
url = "https://api-open.data.gov.sg/v1/public/api/datasets/" + dataset_id + "/poll-download"
response = requests.get(url)
json_data = response.json()
if json_data['code'] != 0:
print(json_data['errMsg'])
exit(1)
url = json_data['data']['url']
response = requests.get(url)
print(response.text)This dataset can be reused and cited in research publications.
24 Jul 2019
Free forever for personal or commercial use, under the Open Data Licence.