Area of Permanent Forest Reserves by State
Data as of 2021The area of permanent forest reserves as of year-end, by state.
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How is this data produced?
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.
What caveats I should bear in mind when using this data?
Data prior to 2017 for states in Peninsular Malaysia includes the area of included proposed PRFs which had not yet been gazetted. Data from 2017 is based only on the area of gazetted PRFs. Furthermore, data on PRFs in Sarawak for 2010 and 2011 is not available at present and will be updated at a later date.
Publication(s) using this data
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Metadata
Dataset description
The area of permanent forest reserves as of year-end, by state.
Variable definitions
- Date
- State
- Forest Reserve Area
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 |
state (Categorical) | State | One of 16 states, or Peninsular Malaysia, which has been included for ease of analysis |
area (Float, Hectares) | Forest Reserve Area | The area of permanent forest reserves in that state, as of 31st December in the year recorded. |
Last updated:
13 Aug 2024, 12:00
Next update:
N/A
Data source(s)
- Forestry Department of Peninsular Malaysia
- Department of Statistics Malaysia
URLs to dataset
License
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.
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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_state.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
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_state&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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