The area of permanent forest reserves as of year-end.
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Permanent Reserved Forests (PRFs) are government lands that have been gazetted under the National Forestry Act 1984. Under the National Forestry Policy 1978 (Amendment 1992), PRFs must be managed and classified under four main functions: protection, production, recreation, and research. This dataset records the area of land gazetted as PRFs in Malaysia, with the area is calculated directly from the gazetted PRF maps. For a richer understanding of the definition and purposes of PRFs, please refer to this policy document.
Data prior to 2017 includes the area of included proposed PRFs in Peninsular Malaysia which had not yet been gazetted. Data from 2017 is based only on the area of gazetted PRFs. Furthermore, data for 2010 and 2011 is not available at present and will be updated at a later date.
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The area of permanent forest reserves as of year-end.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency |
area (Float, Hectares) | Forest Reserve Area | The area of permanent forest reserves in that state, as of 31st December in the year recorded. |
13 Aug 2024, 12:00
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This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/environment/forest_reserve.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=forest_reserve&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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