Visualize My Own Data using MarkerCluster

[fadhil-ayyasy]

Hi.
I have been following several of your tutorials about geemap, until I stuck in the 6th tutorial about marker cluster.

I have tried your code using your sample data, and it can run successfully. However, when I try to use another data to the code, there are several problems show up.

First, my data format is not the same as yours, so I have to reformat my data so I can get the same format as yours.

I use the data from Nasa about the hotspot located in certain areas in Indonesia. Below is the download link:
https://firms.modaps.eosdis.nasa.gov/data/download/DL_FIRE_J1V-C2_172492.zip

I use this code, so I can reformat the data, and get the same format as yours, even though I only create the code to get the coordinates information.

length = int(len(fire_data))
loc = {}
location = []
coor = {}
i = 0
while i < length-1:
lat = fire_data[i]['latitude']
lon = fire_data[i]['longitude']
coor = {"coordinates" : [lat,lon]}
location.append(coor)
i = i + 1
loc = {"features" : location}

This problem has been solved.

Second, I run the code of MarkerCluster, and get the same result as yours when I printed it. However, when I try to visualize the data using Map.add_layer, it didn't show up, while the format of my result and your result is the same.

Thanks for the attention. I hope we can discuss this problem together.

Regards,
Fadhil

[giswqs]

Your dataset is not formatted correctly as a GeoJSON, and that's why it does not show up on the map. A GeoJSON file looks like the one below. See this sample dataset.

{"features": [{"properties": {"POP_2010": 40888.0, "ELEV_IN_FT": 1611.0, "STATE": "ND"}, "id": "53", "geometry": {"type": "Point", "coordinates": [-101.29627319999997, 48.232509500000106]}, "type": "Feature"}, {"properties": {"POP_2010": 52838.0, "ELEV_IN_FT": 830.0, "STATE": "ND"}, "id": "101", "geometry": {"type": "Point", "coordinates": [-97.03285469999997, 47.92525680000006]}, "type": "Feature"}

[fadhil-ayyasy]

Thank you very much.

Such a very basic knowledge that I didn't know before.
I have converted the data format to GeoJson, and the code has run successfully.