.

Author: yzh211

docs/notebooks/object_homo.ipynb

@@ -86,7 +86,7 @@
   },
   {
    "source": [
-    "The code block above generated four swath objects corresponding to original (fixed-width), elevation, slope, and TPI methods, respectively. The default miminum and maximum value thresolds for elevation method are -inf and inf, for slope are 0 and 90, for TPI are -inf are inf. The default *line_stepsize* and *cross_stepsize* equal to size of raster resolution. TPI based method has an additional parameter *tpi_radius* that controls the size of calculation window. For more information, users are refer to [Weiss, 2001] (http://www.jennessent.com/downloads/tpi-poster-tnc_18x22.pdf)."
+    "The code block above generated four swath objects corresponding to original (fixed-width), elevation, slope, and TPI methods, respectively. The default miminum and maximum value thresolds for elevation method are -inf and inf, for slope are 0 and 90, for TPI are -inf are inf. The default *line_stepsize* and *cross_stepsize* equal to size of raster resolution. TPI based method has an additional parameter *tpi_radius* that controls the size of calculation window. For more information, users are refer to [Weiss, 2001](http://www.jennessent.com/downloads/tpi-poster-tnc_18x22.pdf)."
    ],
    "cell_type": "markdown",
    "metadata": {}
@@ -95,7 +95,7 @@
    "source": [
     "## Swath polygons comparison\n",
     "\n",
-    "In previous section, we have shown the cases of using GDAL to plot the swath polygon on top of raster dataset. Here, we give an example by making use of [rasterio] (https://rasterio.readthedocs.io/en/latest/intro.html) to easily generate similar results. Note that PyOSP is not depend on rasterio, so the user needs to [install rasterio] (https://rasterio.readthedocs.io/en/latest/installation.html) seperately."
+    "In previous section, we have shown the cases of using GDAL to plot the swath polygon on top of raster dataset. Here, we give an example by making use of [rasterio](https://rasterio.readthedocs.io/en/latest/intro.html) to easily generate similar results. Note that PyOSP is not depend on rasterio, so the user needs to [install rasterio](https://rasterio.readthedocs.io/en/latest/installation.html) seperately."
    ],
    "cell_type": "markdown",
    "metadata": {}