Sarawak Data

NCR Land New Initiative Survey Program, as at 30 Jun 2018 NCR Land Perimeter Surveyed through NCR New Initiative Survey Program In Sarawak

Source	NCR Land Perimeter Surveyed through NCR New Initiative Survey Program In Sarawak
URL	https://data.sarawak.gov.my/home/data/resource_download/627
Description	NCR Land New Initiative Survey Program, as at 30 Jun 2018
Format	CSV
File Size	504 B
Downloads	43
Package ID	32f45be0-c0ec-4ec2-b16b-d949f997e736
Resource ID	4460a45d-e98a-4787-aaa8-3a89254f6a52
Revision ID	ce88a00b-aca7-43f6-a45d-7188f3e046b8
Published Date	11/10/2018 09:18 AM
Last Modified	11/10/2018 09:18 AM
MD5 Checksum	7a9adfe35cf2398547c0c180eaa40c83

Data Explorer

Download

Columns

No	Field	Type
1	_id	Integer
2	Year	Numeric
3	Month	Text
4	Type in Hectares	Text
5	Kuching	Text
6	Sri Aman	Text
7	Sibu	Text
8	Miri	Text
9	Limbang	Text
10	Sarikei	Text
11	Kapit	Text
12	Samarahan	Text
13	Bintulu	Text
14	Mukah	Text
15	Betong	Text
16	Serian	Text

Endpoint »

The Data API can be accessed via the following actions of the CKAN action API.

Query	`https://catalog.sarawak.gov.my/api/3/action/datastore_search`

Querying »

Query example (first 5 results)

https://catalog.sarawak.gov.my/api/3/action/datastore_search?resource_id=4460a45d-e98a-4787-aaa8-3a89254f6a52&limit=5

Query example (results containing 'jones')

https://catalog.sarawak.gov.my/api/3/action/datastore_search?resource_id=4460a45d-e98a-4787-aaa8-3a89254f6a52&q=jones

Example: Javascript »

A simple ajax (JSONP) request to the data API using jQuery.

var data = {
    resource_id: '4460a45d-e98a-4787-aaa8-3a89254f6a52', // the resource id
    limit: 5, // get 5 results
    q: 'jones' // query for 'jones'
};
$.ajax({
    url: 'https://catalog.sarawak.gov.my/api/3/action/datastore_search',
    data: data,
    dataType: 'jsonp',
    success: function(data) {
        alert('Total results found: ' + data.result.total)
    }
});

Example: Python »

import urllib
url = 'https://catalog.sarawak.gov.my/api/3/action/datastore_search?resource_id=4460a45d-e98a-4787-aaa8-3a89254f6a52&limit=5&q=title:jones'
fileobj = urllib.urlopen(url)
print fileobj.read()