Baumkataster Flensburg

Interaktive webbasierte Baumkataster Karten basierend auf Daten des TBZ Flensburg

Haftungsausschluss

Das OK Lab Flensburg hostet die zum Download bereitgestellten Daten des TBZ Flensburg ohne inhaltliche Änderung als Feature Service über über die Webseite https://baumkataster-flensburg.de und stellt diese auf einer interaktiven Karte für Analysen zur Verfügung. Alle Daten werden ungeprüft und ohne Gewähr auf deren Genauigkeit zur Verfügung gestellt. Das OK Lab Flensburg übernimmt hierfür keinerlei Haftung und Gewähr.

Datenquelle

• https://opendata.schleswig-holstein.de/dataset/baumkataster-flensburg-2023-05-11

Prerequisite

Install system dependencies and clone repository

sudo apt install git git-lfs virtualenv python3 python3-pip postgresql-15 postgresql-15-postgis-3 postgis
git clone https://github.com/oklabflensburg/open-trees-map.git

Create dot .env file inside root directory. Make sure to add the following content repaced by your actual values

BASE_URL=http://localhost

[email protected]
CONTACT_PHONE="+49xx"

PRIVACY_CONTACT_PERSON="Firstname Lastname"

ADDRESS_NAME="Address Name"
ADDRESS_STREET="Address Street"
ADDRESS_HOUSE_NUMBER="House Number"
ADDRESS_POSTAL_CODE="Postal Code"
ADDRESS_CITY="City"

DB_PASS=postgres
DB_HOST=localhost
DB_USER=postgres
DB_NAME=postgres
DB_PORT=5432

Update repository

git pull
git lfs pull

Create SQL schema

Run sql statements inside open-trees-map root directory

sudo -i -Hu postgres psql -U postgres -h localhost -d postgres -p 5432 < data/baumkataster_schema.sql

Transform projection

Notice, this must only be done when felling of trees dataset added

Note, calling transform_epsg.py has three parameters, first is the source second the source projection EPSG number and last the destination EPSG number. Make sure to verify that your EPSG number are the correct one.

cd tools
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
python transform_epsg.py ../data/baumfaellungen_flensburg_2023.csv 31467 4326
deactivate

Merge inventory fellings

Notice, this must only be done when felling of trees dataset has been updated

Note, calling merge_fellings.py has two parameters, first one is the path the fellings file, most likely a csv file. The second one is the path of the inventory file most likely a geojson file. Make sure to verify that both files are valid and test results.

cd tools
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
python merge_fellings.py ../data/baumfaellungen_flensburg_2023.csv ../data/baumkataster_flensburg.geojson
deactivate

Convert latest Geojson

Notice, this must only be done when updating dataset

cd tools
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
python convert_geojson.py ../data/baumkataster_flensburg.geojson OBJECT_ID TREE_TYPE type TRUNK_DIAMETER CROWN_DIAMETER TOTAL_HEIGHT PLANT_YEAR hochwert rechtswert place
deactivate

Import inventory

Required when you want to fetch data via API

cd tools
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
python insert_species.py ../data/tree_species.csv
python insert_inventory.py ../data/baumkataster_flensburg.geojson
python update_districts.py
python update_species.py
python merge_districts.py ../data/baumkataster_flensburg.geojson
deactivate

How many trees from the same species

SELECT
    ts.species_german,
    ti.tree_species,
    COUNT(*) AS amount
FROM
    tree_inventory AS ti
LEFT JOIN
    tree_species AS ts ON ts.species_latin = ti.tree_species
GROUP BY
    ti.tree_species,
    ts.species_german
ORDER BY
    amount DESC;

How many trees per district?

This query retrieves data from the tree inventory, calculates the count of trees in each district, and computes the district's area in square kilometers.

SELECT
    d.name AS district_name,
    COUNT(*) AS district_count,
    ROUND(CAST(ST_Area(d.wkb_geometry::geography) / 1000000 AS numeric), 2) AS district_area
FROM
    tree_inventory AS ti
JOIN
    districts AS d ON d.id = ti.district_id
GROUP BY
    ti.district_id, d.name, d.wkb_geometry
ORDER BY
    district_count DESC;

  district_name   | district_count | district_area
------------------+----------------+---------------
 Friesischer Berg |           3215 |          4.23
 Westliche Höhe   |           2762 |          4.68
 Weiche           |           1751 |          8.04
 Mürwik           |           1610 |          6.54
 Nordstadt        |           1588 |          4.07
 Fruerlund        |           1565 |          2.51
 Tarup            |           1502 |          5.27
 Engelsby         |           1154 |          3.75
 Südstadt         |           1139 |          5.17
 Jürgensby        |            944 |          1.41
 Sandberg         |            718 |          2.33
 Altstadt         |            410 |          0.57
 Neustadt         |            320 |          0.47
(13 rows)

Export Baumarten

GRANT USAGE ON SCHEMA public TO postgres;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO postgres;
GRANT USAGE, SELECT ON SEQUENCE tree_species_pkey_seq TO postgres;

sudo chown user:postgres data/unknown_species.csv
COPY (SELECT type FROM baumkataster WHERE tkey IS NULL GROUP BY type) TO 'data/unknown_species.csv' WITH DELIMITER ',' CSV HEADER;
sudo chown user:user data/unknown_species.csv

Dump Baumarten

pg_dump -h localhost -p 5432 -U postgres -d postgis_db -t tree_species > tree_species.sql

TODO

• Remove duplicates from data/tree_species.csv

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How to Contribute

Contributions are welcome! Please refer to the CONTRIBUTING.md guide for details on how to get involved.

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License

This repository is licensed under CC0-1.0.