[
    {
        "role": "user",
        "content": "what%20are%20parameters%20for%20osmnx%20graph_from_place()"
    },
    {
        "role": "assistant",
        "content": "Here are the key parameters (and default values) for `osmnx.graph_from_place()` as of the latest OSMnx (v2.1.0dev, early 2026), along with what each parameter does. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))\n\n---\n\n## osmnx.graph_from_place() signature\n\n```python\nox.graph_from_place(\n    query,\n    network_type='all',\n    simplify=True,\n    retain_all=False,\n    truncate_by_edge=False,\n    which_result=None,\n    buffer_dist=None,\n    clean_periphery=True,\n    custom_filter=None\n)\n```\n\n---\n\n## Parameters\n\n| Parameter | Default | Type | Description |\n|---|---|---|---|\n| **query** | \u2014 | `str`, `dict`, or `list` of `str`/`dict` | The place name(s) to geocode. OSMnx uses this to get a polygon boundary from OpenStreetMap via Nominatim. If OSM has no boundary polygon for your query, you may need alternate functions. ([app.readthedocs.org](https://app.readthedocs.org/projects/osmnx/downloads/pdf/stable/?utm_source=openai)) |\n| **network_type** | `'all'` | `str` | Which street network preset to use when `custom_filter` is `None`. Options generally include `\"all\"`, `\"all_public\"`, `\"bike\"`, `\"drive\"`, `\"drive_service\"`, `\"walk\"`. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai)) |\n| **simplify** | `True` | `bool` | Simplify the graph topology (e.g. collapse non-intersection nodes along straight edges), via OSMnx's `simplify_graph` function. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai)) |\n| **retain_all** | `False` | `bool` | If `True`, returns the entire graph even if it\u2019s disconnected. If `False` (default), only the largest weakly connected component is kept. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai)) |\n| **truncate_by_edge** | `False` | `bool` | If `True`, nodes that are outside the boundary but have at least one neighbor inside are retained; if `False`, the graph is strictly clipped to the boundary polygon. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai)) |\n| **which_result** | `None` | `int` or `None` | When the geocoding of `query` returns multiple possible places, this selects which one to use (e.g. first, second). If `None`, a default heuristics or first result is used. ([app.readthedocs.org](https://app.readthedocs.org/projects/osmnx/downloads/pdf/stable/?utm_source=openai)) |\n| **buffer_dist** | `None` | `float` (meters) or `None` | Distance to expand the polygon boundary (buffer) before fetching data, useful when you want a little extra beyond the exact boundary. After fetching, it is truncated back. ([pure.tudelft.nl](https://pure.tudelft.nl/ws/portalfiles/portal/117828857/Thesis_G.Reggiani.pdf?utm_source=openai)) |\n| **clean_periphery** | `True` | `bool` | If `True`, clean up the periphery: buffer the shape, fetch data beyond the boundary, simplify, then truncate, in order to reduce artificial edge effects at boundary. If `False`, skip that extra boundary buffer step. ([kolumdium.github.io](https://kolumdium.github.io/r4r-prototypes-public/book/basics/osmnx/osmnxBasics.html?utm_source=openai)) |\n| **custom_filter** | `None` | `str`, `list[str]`, or `None` | Instead of using a preset `network_type`, you can provide a filter string or list of Overpass QL filters to select specific OSM ways. For example `['\"highway\"~\"motorway|trunk\"']`, or intersection of attributes. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai)) |\n\n---\n\n## Notes / Tips\n\n- **network_type vs custom_filter**: If `custom_filter` is provided (not `None`), the `network_type` preset is ignored, and the query uses the custom filter exclusively. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))  \n- **Boundary issues**: Sometimes the polygon returned for a place is too tight. Using `buffer_dist` or enabling `clean_periphery` helps include edges that lie just beyond. ([kolumdium.github.io](https://kolumdium.github.io/r4r-prototypes-public/book/basics/osmnx/osmnxBasics.html?utm_source=openai))  \n- **Large queries**: For very large areas, OSMnx may subdivide the boundary automatically and send multiple smaller requests. Be mindful of Overpass API limits. ([app.readthedocs.org](https://app.readthedocs.org/projects/osmnx/downloads/pdf/stable/?utm_source=openai))  \n\n---\n\nIf you'd like, I can show you a concrete example with non-defaults, or help you choose parameters for your specific place of interest."
    },
    {
        "role": "user",
        "content": "ok%2C%20so%20what%20places%20are%20supported%20for%20query%3F%20just%20large%20city%20names%3F"
    },
    {
        "role": "assistant",
        "content": "Here\u2019s a breakdown of what kinds of \u201cplaces\u201d you can use with `osmnx.graph_from_place()`, and what can go wrong \u2014 not just large cities.\n\n---\n\n## What kinds of places are supported\n\nAccording to the latest documentation, `graph_from_place()` expects a *geocodable query*: something that Nominatim (the geocoder used by OSMnx) can resolve into geographic boundary polygons. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))\n\nHere are examples of queries that work:\n\n- City names, e.g. `\"Los Angeles, California\"` ([geoffboeing.com](https://geoffboeing.com/2016/11/osmnx-python-street-networks/?utm_source=openai))  \n- Administrative units of different sizes, e.g. boroughs, counties, states, or small neighborhoods\u2014*if* OSM has polygonal boundaries for them. ([geoffboeing.com](https://geoffboeing.com/2016/11/osmnx-python-street-networks/?utm_source=openai))  \n- A list of places (strings or structured dicts) \u2014 you can pass multiple names together to get a combined area. ([geoffboeing.com](https://geoffboeing.com/2016/11/osmnx-python-street-networks/?utm_source=openai))  \n- Places anywhere in the world \u2014 not just in the U.S. ([geoffboeing.com](https://geoffboeing.com/2016/11/osmnx-python-street-networks/?utm_source=openai))  \n\n---\n\n## What DOESN\u2019T work (or often causes errors)\n\nEven though many things *should* work, there are limitations:\n\n- If OSM does **not** have a polygon boundary for the place you name, the function fails. E.g. tiny neighborhoods that haven\u2019t been mapped with administrative boundary relations may not show up. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))  \n- If the query is ambiguous \u2014 same place name in multiple locations \u2014 you might get unexpected results. The `which_result` parameter is used to pick among multiple possible geocoding hits. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))  \n- If the place name is incomplete or spelled incorrectly, or lacks enough context (city, state, country), Nominatim may return no results. ([stackoverflow.com](https://stackoverflow.com/questions/65571125/osmnx-not-able-to-import-graphs-or-gdf-from-a-place?utm_source=openai))  \n\n---\n\n## Tips to make queries more reliable\n\n- Be specific if possible (include city + state/country) to avoid ambiguity.  \n- If you know the administrative level (e.g. \u201cNeighborhood\u201d, \u201cCity\u201d, \u201cCounty\u201d), you can pass a dict like `{\"city\": \"Los Altos Hills\", \"state\": \"California\"}`. ([geoffboeing.com](https://geoffboeing.com/2016/11/osmnx-python-street-networks/?utm_source=openai))  \n- Use `which_result` when a name could match multiple places.  \n- Before calling `graph_from_place()`, test with `osmnx.geocode_to_gdf(query)` \u2014 this returns geocoded geometries; you\u2019ll see if it resolves and if a polygon boundary is present. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))  \n\n---\n\nIf you want, I can help check whether *your specific place* will work (just tell me the name), and suggest a query format that\u2019s likely to succeed."
    },
    {
        "role": "user",
        "content": "are%20place%20names%20available%20for%20florida%20cities%20like%20Fernandina%20Beach%2C%20fl%3F"
    },
    {
        "role": "assistant",
        "content": "Yes \u2014 Fernandina Beach, FL *is* supported as a place name, and OSM/Nominatim should have a polygon boundary for it. That means if you do something like:\n\n```python\nox.graph_from_place(\"Fernandina Beach, Florida, USA\")\n```\n\n... it should work, because Fernandina Beach is an incorporated city with defined boundaries. ([florida.hometownlocator.com](https://florida.hometownlocator.com/maps/feature-map%2Cftc%2C2%2Cfid%2C2403607%2Cn%2Ccity%20of%20fernandina%20beach.cfm?utm_source=openai))\n\n---\n\n## How to check and handle this in OSMnx\n\nHere are ways to test and ensure it works:\n\n1. **Try geocoding first**  \n   Use `ox.geocode_to_gdf(\"Fernandina Beach, Florida, USA\")`. This will return a GeoDataFrame including the boundary polygon if it exists. If you get only a point, the polygon may not be available, and OSMnx/Overpass/Nominatim can\u2019t pull it.\n\n2. **Check polygon availability**  \n   In OSM\u2019s data model, places like cities have administrative boundary \u201crelations\u201d with tags like `boundary=administrative` and `admin_level` (often `6` or so for US cities). If Fernandina Beach has that, OSMnx/Overpass can fetch the polygon. If not, only the point centroid is used. ([osmtoday.com](https://osmtoday.com/north_america/us/florida.html?utm_source=openai))\n\n3. **What if polygon is not found**  \n   If the polygon\u2019s missing, OSMnx might fallback (depending on function) \u2014 for example, using a point + buffer to fetch nearby street network instead of clipping precisely at boundary. Or you might need to provide a custom polygon (GeoDataFrame) yourself. ([osmnx.readthedocs.io](https://osmnx.readthedocs.io/_/downloads/en/latest/pdf/?utm_source=openai))\n\n---\n\nIf you like, I can test this live for Fernandina Beach and give you what `geocode_to_gdf()` returns (i.e. whether it's a polygon or just a point)."
    }
]