marinetraffic / mt-ais-toolbox Goto Github PK

Hi All,

I had generated the tiff file of the sample dataset attached. I have got the density map but the land/ sea area is not being highlighted. I had tried changing some attributes to the color file as well but was not successful.

Any help for the same would be highly appreciated. Thanks in advance.

Rahu

l

Recent updates in shapely breaks the execution during cleaning process execution if land masking is enabled.
By default package installation allows the installation of the latest shapely version.

A quick fix is to prevent this behaviour is to manually install v1.8.5 of shapely.
pip install shapely==1.8.5

Regarding the toolbox requirements, does the GDAL version specifically need to be version 3.0.4? I have version 3.4.3 installed using a .whl file however I am having issues, could it be down to this?

Hi,

I am excited to use the mt-ais-toolbox package but am unfortunately falling at the first hurdle. I am using a windows 10 operating system and having issues when installing the packages.

I have Microsoft Visual C++ 14.3 installed, and opened a virtual environment into which I have downloaded GDAL. However, when I clone the mt-ais-toolbox and subsequently install the packages, the wheel for pygeos fails to build (ERROR: Could not build wheels for pygeos, which is required to install pyproject.toml-based projects). Additionally, it says: 'Could not find geos-config executable. Either append the path to geos-config to PATH or manually provide the include_dirs, library_dirs, libraries and other link args for compiling against a GEOS version >=3.5.'

I have tried researching this error and have found information that the lib and include folders need to be specified manually because there is no geos.config on windows (https://pygeos.readthedocs.io/en/stable/installation.html). However, I do not understand how I can specify the file paths before running the code to install the packages, because the path wouldn't exist yet?

I am new to python so I am quite overwhelmed. If you have any tips or pointers for me, I would hugely appreciate it.

Fiona

When running the data_cleaning.py file I am getting the error:

ERROR:root:Thread exception (209122000): name 'MMSI' is not defined

for each of the csv files and I don't know how I should try to fix this?

I have AIS data over a longer time period and I would like to create .tif files of vessel density for each day. I have the AIS .csv files organised into daily folders, with each folder containing .csv's for each mmsi that day, like this:

-samples
--01_merged
---1
----209122000.csv
----209952000.csv
---2
----215783000.csv
----235070241.csv

Do you have any recommendations for adapting the package to iteratively create .tif files for each of the daily sub-folders within the 01_merged folder?

Hi,

I am applying this package to AIS data that I have acquired for my project. I have created a GeoJSON file of the sea in my study area and put it into the geometry path, and adjusted the configuration file to suit my needs. When I run the data cleaning script I was getting the error:

File "C:...\mt-ais-toolbox\src\mt\cleaning\data_cleaning.py", line 249, in clean_data
for _polygon in polygons.geoms:
^^^^^^^^^^^^^^
AttributeError: 'Polygon' object has no attribute 'geoms'. Did you mean: '_geom'?

So I changed the code to be 'for _polygon in polygons._geom:'. However, now I am getting the error:

File "C:\Users...\mt-ais-toolbox\src\mt\cleaning\data_cleaning.py", line 249, in clean_data
for _polygon in polygons._geom:
TypeError: 'int' object is not iterable

This makes it seem like the operation assumes it is a multi-polygon object. I thought maybe this was why the polygon_split function was called at the start of the script, so maybe this isn't working as it should? Or perhaps I am completely misinterpreting what the polygon_split is for.

Any insight or help you can give me would be hugely appreciated!

Thanks,

Fiona