工作散景地图图块和点投影示例需要抛光帮助

问：

这是单击散景贴图并进行回调的工作示例。目前，这些点尚未进行地理配准，并且似乎已按比例缩小并显示在地图的干扰中。理想情况下，我不仅会显示文本，还可以添加 hvplot 作为弹出窗口或至少在地图的一侧。任何人都可以帮助添加投影，如果他们可以帮助我点击显示 hvplot（任何数据都可以），那就太好了!!!!!

import pandas as pd
import holoviews as hv
from holoviews import opts
from holoviews.streams import Tap
import geoviews.tile_sources as gts
import geoviews as gv
import cartopy.crs as ccrs
import numpy as np

# Suppress warnings related to non-parameter attributes
hv.config.warn_options_call = False

hv.extension('bokeh')

# Create a sample DataFrame with latitude and longitude columns
data = pd.DataFrame({'lat': [51.5074, 48.8566, 40.7128],
                     'lon': [-0.1278, 2.3522, -74.0060],
                     'city': ['London', 'Paris', 'New York']})

# Function to handle the marker click event
def marker_info(x, y):
    if np.isnan(x) or np.isnan(y):
        return hv.Text(0,0,f'Click on a station', halign='left', valign='bottom')
    else:
        data['distance'] = ((data['lat'] - y) ** 2 + (data['lon'] - x) ** 2) ** 0.5
        selected_point = data.loc[data['distance'].idxmin()]
        info = f"Latitude: {selected_point['lat']}, Longitude: {selected_point['lon']}, City: {selected_point['city']}"
        return hv.Text(x,y,info, halign='left', valign='bottom')

# Create a DynamicMap that responds to the click event on the markers
tap_stream = Tap(transient=True, x=np.nan, y=np.nan)
marker_dmap = hv.DynamicMap(marker_info, streams=[tap_stream])

# Create a map with markers from the DataFrame and add the DynamicMap with the marker information
markers = hv.Points(data, kdims=['lat', 'lon'], vdims=['city'], crs=ccrs.PlateCarree()).opts(
    size=10,
    color='red',
    tools=['tap']
)

# Set the CRS for the tile source to Plate Carrée projection
tile_source = gv.tile_sources.OSM().clone(crs=ccrs.PlateCarree())

map_with_markers = (tile_source * markers * marker_dmap).opts(
    opts.Points(active_tools=['tap']),
    opts.WMTS(width=800, height=800, xlim=(-180, 180), ylim=(-90, 90))
)

# Display the map
map_with_markers