rasteric 0.0.2.2

A Comprehensive Geospatial Library

Rasteric: A Comprehensive Geospatial Library

Rasteric is a comprehensive library for geospatial data preprocessing, analysis, and modeling. It provides a variety of functions for transforming and manipulating geospatial data, including:

• Data normalization with norm()
• Resampling using resample()
• Feature extraction through extract()

It also offers analytical techniques such as:

• zonalstats() for spatial analysis
• ndvi() for vegetation index calculation
• haversine() for distance calculations

Supported Data Formats

Rasteric is designed to work with multiple geospatial data formats, including:

• Shapefiles
• GeoJSON
• Raster data

Key Functions

Data Handling

• convpath() for file path handling
• stack_rasters() for combining multiple rasters
• convras() for converting rasters to vector format

Visualization

• plot() for displaying raster data
• contour() for creating contour plots
• hist() for histogram generation

Data Manipulation

• clipraster() for cropping rasters
• reproject_raster() for coordinate system transformations
• bandnames() for managing raster band information

Utilities

• mergecsv() for combining data files
• savetif() for saving processed data

Integration and Applications

Rasteric integrates seamlessly with popular geospatial tools and platforms, enhancing its functionality with features like:

• getFeatures() for working with vector data
• stats() for quick raster statistics

Widely used in the geospatial industry, research, and open-source communities, Rasteric facilitates:

• Development of geospatial applications
• Performance of spatial analysis
• Modeling of complex geospatial phenomena

Its diverse set of functions, including zonalstats(), ndvi(), and resample(), make it a versatile tool for a wide range of geospatial tasks.

Example:

from rasteric import raster
from matplotlib import pyplot

fig, (axr, axg, axb) = pyplot.subplots(1, 3, figsize=(21, 7))

fig, (axr, axg, axb) = pyplot.subplots(1, 3, figsize=(21, 7))

raster.plot('T60GVV.tif', bands=[3], ax=axr, title="Red", brightness_factor=5)
raster.plot('IMG_001_clip.tif', bands=[4,2,1], ax=axg, title="Green", brightness_factor=5)
raster.plot('IMG_001_clip.tif', bands=[4], ax=axb, title="Red")

clip(raster_file, shapefile, output_file)

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Function Descriptions

convpath(file_path)

Converts a Windows-style file path to a Unix-style path for cross-platform compatibility.

Parameters:

• file_path (str): The input file path to be converted.

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norm(array)

Applies min-max normalization to a raster array, adjusting pixel values between 0 and 1.

Parameters:

• array (numpy array): The input raster array to be normalized.

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plot(file, bands=(3, 2, 1), cmap='viridis', title='Raster photo', ax=None)

Displays a raster image using specified bands, allowing visualization of multi-band or single-band images.

Parameters:

• file (str): Path to the raster file.
• bands (tuple): Bands to be displayed (default is (3, 2, 1) for RGB).
• cmap (str): Colormap to be used (default is 'viridis').
• title (str): Title for the plot (default is 'Raster photo').
• ax (matplotlib.axes.Axes): Optional axes object to plot on.

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contour(file)

Plots a raster image with overlaid contours to visualize elevation changes or continuous data variations.

Parameters:

• file (str): Path to the raster file.

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hist(file, bin=50, title="Histogram")

Plots a histogram of raster values to display the distribution of pixel intensities.

Parameters:

• file (str): Path to the raster file.
• bin (int): Number of bins for the histogram (default is 50).
• title (str): Title for the histogram plot (default is "Histogram").

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haversine(lon1: float, lat1: float, lon2: float, lat2: float) -> float

Calculates the great-circle distance between two geographical points using latitude and longitude.

Parameters:

• lon1 (float): Longitude of the first point.
• lat1 (float): Latitude of the first point.
• lon2 (float): Longitude of the second point.
• lat2 (float): Latitude of the second point.

Returns:

• float: The distance between the two points in kilometers.

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stack(input_files, output_file, band_names=None)

Stacks multiple raster files into a single multi-band raster file.

Parameters:

• input_files (list): List of paths to input raster files.
• output_file (str): Path to the output stacked raster file.
• band_names (list): Optional list of names for the output bands.

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bandnames(input_raster, band_names)

Updates the names of bands in a raster file to provide meaningful descriptions.

Parameters:

• input_raster (str): Path to the input raster file.
• band_names (list): List of new names for the raster bands.

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getFeatures(geo)

Retrieves geometric features from a given geographical input.

Parameters:

• geo (GeoDataFrame): Input GeoDataFrame containing the geometries.

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clip(raster_file, shapefile, output_file, epsg_code=4326)

Clips a raster file using a shapefile polygon and exports the result to a new raster file.

Parameters:

• raster_file (str): Path to the input raster file.
• shapefile (str): Path to the shapefile used for clipping.
• output_file (str): Path to the output clipped raster file.
• epsg_code (int): EPSG code for the output raster (default is 4326).

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extract(rf, shp, all_touched=False)

Extracts pixel values from a raster based on geometries in a shapefile, storing results in a GeoDataFrame.

Parameters:

• rf (str): Path to the raster file.
• shp (str): Path to the shapefile.
• all_touched (bool): If True, include all pixels touched by geometries (default is False).

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savetif(output, gdf, colname='FVC', input_raster=None, resolution=10, dtype=rasterio.float32)

Converts vector data into a raster file and burns values from a GeoDataFrame column into the raster.

Parameters:

• output (str): Path to the output raster file.
• gdf (GeoDataFrame): Input GeoDataFrame containing geometries and values.
• colname (str): Column name in the GeoDataFrame to use for raster values (default is 'FVC').
• input_raster (str): Optional path to an input raster for reference.
• resolution (int): Desired resolution for the output raster (default is 10).
• dtype: Data type for the output raster (default is rasterio.float32).

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mergecsv(path, outfile='combined_all.csv')

Combines multiple CSV files from a specified directory into a single CSV file.

Parameters:

• path (str): Path to the directory containing CSV files.
• outfile (str): Name of the output merged CSV file (default is 'combined_all.csv').

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reproject(input_raster, output_raster, target_crs)

Reprojects a raster to a different coordinate reference system (CRS).

Parameters:

• input_raster (str): Path to the input raster file.
• output_raster (str): Path to the output reprojected raster file.
• target_crs: Target coordinate reference system.

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ndvi(red_band, nir_band)

Calculates the Normalized Difference Vegetation Index (NDVI) from red and near-infrared bands.

Parameters:

• red_band (numpy array): The red band values.
• nir_band (numpy array): The NIR band values.

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zonalstats(raster_file, vector_file, stats=['mean', 'max', 'min', 'std'])

Calculates zonal statistics for each polygon in a vector file based on underlying raster values.

Parameters:

• raster_file (str): Path to the input raster file.
• vector_file (str): Path to the input vector file.
• stats (list): List of statistics to calculate (default is ['mean', 'max', 'min', 'std']).

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convras(raster_file, output_shapefile, field_name='value')

Converts a raster to a vector format (polygons).

Parameters:

• raster_file (str): Path to the input raster file.
• output_shapefile (str): Path to the output shapefile.
• field_name (str): Name of the field to store raster values (default is 'value').

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resample(input_raster, output_raster, scale_factor=2, resampling_method='bilinear')

Resamples a raster to a different resolution using a specified scale factor and resampling method.

Parameters:

• input_raster (str): Path to the input raster file.
• output_raster (str): Path to the output resampled raster file.
• scale_factor (float): Scale factor for resampling (default is 2).
• resampling_method (str): Resampling method to use (default is 'bilinear').

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stats(raster_file)

Calculates basic statistics (min, max, mean, std) for a raster file.

Parameters:

• raster_file (str): Path to the input raster file.

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