Denkmalliste Stadt Flensburg

Haftungsausschluss: Dieses Repository und die zugehörige Datenbank befinden sich derzeit in einer Beta-Version. Einige Aspekte des Codes und der Daten können noch Fehler enthalten. Bitte kontaktieren Sie uns per E-Mail oder erstellen Sie ein Issue auf GitHub, wenn Sie einen Fehler entdecken.

Hintergrund

Die Idee, Denkmäler und deren Merkmale auf einer digitalen Karte anzuzeigen, ist während eines Spaziergangs durch Flensburg entstanden. Auf dem Open Data Portal Schleswig-Holstein stellt das Landesamt für Denkmalpflege Schleswig-Holstein eine Denkmalliste zur Verfügung, jedoch leider ohne Angabe der Koordinaten. Wir haben uns entschieden, dies zu ändern und einen Prototypen der Öffentlichkeit zugänglich zu machen, indem wir die Einträge mit den Gebäudekoordinaten ergänzen.

Datenquelle

Das Landesamt für Denkmalpflege Schleswig-Holstein prüft anhand der gesetzlich vorgegebenen Kriterien den besonderen Wert eines Kulturdenkmals und legt die Maßstäbe, die Methodik für die Erfassung und Pflege sowie den Schutzumfang der Kulturdenkmale fest. Die erhobenen Daten der Denkmalliste werden im Open Data Portal des Landes Schleswig-Holstein zum Download angeboten. Die Kartendarstellung wurde von engagierten Einwohner:innen und ehrenamtlichen Mitgliedern des OK Lab Flensburgs entwickelt.

Mitmachen

Du kannst jederzeit ein Issue auf GitHub öffnen oder uns über [email protected] schreiben

Prerequisite

Install system dependencies and clone repository

sudo apt install wget
sudo apt install git git-lfs
sudo apt install python3 python3-pip python3-venv

sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list'
wget -qO- https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo tee /etc/apt/trusted.gpg.d/pgdg.asc &>/dev/null
sudo apt update
sudo apt install postgresql-16 postgis
sudo apt install gdal-bin

# install NVM (Node Version Manager)
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash

# download and install Node.js
nvm install 20

# verifies the right Node.js version is in the environment
node -v

# verifies the right NPM version is in the environment
npm -v

git clone https://github.com/oklabflensburg/open-monuments-map.git

Create a dot .env file inside the project root. Make sure to add the following content and repace 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-monuments-map root directory

psql -U oklab -h localhost -d oklab -p 5432 < data/denkmalliste_schema.sql
psql -U oklab -h localhost -d oklab -p 5432 < data/denkmalliste_geometrien_schema.sql

Next add administrative geometries

ogr2ogr -f "PostgreSQL" PG:"dbname=oklab user=oklab port=5432 host=localhost" "data/vg250gem.geojson" -nln vg250gem
ogr2ogr -f "PostgreSQL" PG:"dbname=oklab user=oklab port=5432 host=localhost" "data/vg250vwg.geojson" -nln vg250vwg
ogr2ogr -f "PostgreSQL" PG:"dbname=oklab user=oklab port=5432 host=localhost" "data/vg250krs.geojson" -nln vg250krs
ogr2ogr -f "PostgreSQL" PG:"dbname=oklab user=oklab port=5432 host=localhost" "data/vg250lan.geojson" -nln vg250lan
ogr2ogr -f "PostgreSQL" PG:"dbname=oklab user=oklab port=5432 host=localhost" "data/vg250rbz.geojson" -nln vg250rbz
ogr2ogr -f "PostgreSQL" PG:"dbname=oklab user=oklab port=5432 host=localhost" "data/vg250sta.geojson" -nln vg250sta

Next initialize python virtualenv and install the dependencies

cd tools
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python insert_monuments.py ../data/stadt-flensburg-denkmalschutz.geojson
python insert_boundaries.py ../data/denkmalliste_geometrien.geojson
python insert_nearest.py
deactivate

HOW TO USE

To query a boundary of an monument call this script with an object_id

python3 query_boundary.py 4677

{"crs": {"properties": {"name": "urn:ogc:def:crs:OGC:1.3:CRS84"}, "type": "name"}, "features": [{"geometry": {"coordinates": [[[10.473906, 54.268938], [10.474305, 54.268966], [10.474323, 54.268879], [10.473924, 54.26885], [10.473906, 54.268938]]], "type": "Polygon"}, "properties": {"object_id": "4677"}, "type": "Feature"}], "type": "FeatureCollection"}

To query an administrative geometry with a buffer by 350 meters

python3 query_monuments.py Wiedenborstel

{"crs": {"properties": {"name": "urn:ogc:def:crs:OGC:1.3:CRS84"}, "type": "name"}, "features": [{"geometry": {"coordinates": [[[9.737154, 54.041516], [9.736735, 54.042374], [9.736698, 54.042454], [9.73641, 54.04311], [9.735614, 54.04376], [9.735067, 54.044321], [9.734727, 54.044936], [9.734607, 54.045578], [9.734713, 54.046222], [9.735041, 54.046839], [9.735567, 54.047561], [9.736286, 54.048271], [9.740882, 54.051691], [9.741717, 54.052187], [9.743463, 54.053016], [9.74434, 54.053355], [9.745311, 54.053586], [9.746341, 54.053701], [9.749554, 54.053872], [9.751125, 54.054024], [9.753842, 54.054889], [9.754684, 54.055104], [9.755576, 54.055232], [9.756492, 54.055267], [9.757405, 54.05521], [9.759331, 54.05499], [9.760373, 54.054875], [9.764946, 54.056171], [9.765929, 54.056382], [9.766964, 54.056477], [9.76801, 54.056451], [9.769028, 54.056306], [9.775747, 54.054924], [9.777342, 54.05468], [9.778022, 54.054546], [9.781149, 54.053792], [9.781931, 54.053557], [9.782638, 54.05325], [9.783249, 54.05288], [9.784607, 54.051908], [9.784754, 54.051882], [9.785748, 54.051635], [9.786637, 54.051276], [9.787386, 54.050819], [9.787964, 54.050283], [9.788347, 54.04969], [9.788519, 54.049063], [9.788475, 54.048429], [9.788215, 54.047813], [9.787751, 54.047241], [9.7871, 54.046734], [9.785562, 54.04576], [9.783264, 54.043586], [9.782619, 54.043092], [9.781822, 54.042683], [9.7803, 54.042047], [9.779656, 54.040915], [9.779787, 54.040433], [9.779846, 54.040122], [9.779886, 54.039726], [9.78002, 54.039524], [9.780258, 54.039063], [9.780374, 54.038585], [9.780446, 54.03793], [9.780402, 54.037279], [9.780132, 54.036647], [9.779647, 54.036062], [9.779603, 54.036028], [9.779602, 54.035886], [9.779406, 54.035298], [9.779023, 54.034742], [9.777706, 54.033252], [9.777245, 54.032835], [9.777613, 54.031175], [9.777649, 54.030577], [9.777491, 54.029986], [9.777146, 54.029423], [9.776626, 54.028909], [9.77595, 54.028462], [9.775143, 54.028098], [9.774233, 54.027832], [9.771954, 54.027315], [9.77094, 54.027151], [9.769892, 54.027107], [9.768849, 54.027184], [9.767852, 54.02738], [9.76694, 54.027687], [9.766147, 54.028094], [9.765478, 54.028511], [9.763896, 54.028982], [9.763092, 54.028924], [9.762064, 54.028967], [9.762057, 54.028968], [9.761934, 54.028946], [9.760942, 54.028876], [9.759945, 54.028916], [9.758979, 54.029064], [9.758076, 54.029316], [9.757269, 54.029662], [9.756765, 54.029924], [9.756706, 54.029931], [9.754993, 54.029853], [9.754097, 54.029856], [9.753215, 54.029948], [9.746759, 54.030951], [9.742702, 54.031582], [9.741743, 54.031791], [9.740869, 54.032104], [9.740112, 54.032509], [9.7395, 54.032991], [9.739056, 54.033534], [9.738795, 54.034116], [9.738727, 54.034716], [9.738855, 54.035314], [9.739242, 54.036329], [9.739018, 54.03652], [9.738161, 54.037511], [9.738113, 54.037568], [9.73724, 54.038632], [9.736843, 54.039296], [9.736707, 54.039995], [9.736839, 54.040694], [9.737154, 54.041516]]], "type": "Polygon"}, "properties": {"gen": "Wiedenborstel"}, "type": "Feature"}], "type": "FeatureCollection"}

Example Query

SELECT
    json_build_object(
        'type', 'FeatureCollection',
        'crs', json_build_object(
            'type', 'name',
            'properties', json_build_object(
                'name', 'urn:ogc:def:crs:OGC:1.3:CRS84'
            )
        ),
        'features', json_agg(
            json_build_object(
                'type', 'Feature',
                'geometry', ST_AsGeoJSON(m.wkb_geometry)::json,
                'properties', json_build_object(
                    'object_id', m.object_id,
                    'place_name', m.place_name,
                    'address', m.address,
                    'postal_code', m.postal_code,
                    'image_url', m.image_url,
                    'designation', m.designation,
                    'description', m.description,
                    'monument_type', m.monument_type,
                    'reasons', (
                        SELECT string_agg(mr.label, ', ')
                        FROM monument_reason AS mr
                        WHERE mxr.monument_id = m.id
                    )
                )
            )
        )
    )
FROM monuments AS m
JOIN monument_x_reason AS mxr ON mxr.monument_id = m.id
JOIN monument_reason AS mr ON mxr.reason_id = mr.id
JOIN vg250gem AS v ON ST_Within(ST_GeomFromEWKB(m.wkb_geometry), ST_GeomFromEWKB(v.wkb_geometry))
WHERE LOWER(v.gen) = 'flensburg';

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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.