fix old link (#66)

Author: e-marshall

book/conclusion/summary.md

@@ -31,10 +31,6 @@ We used a number of visualization tools in these tutorials, each of which are ap
 
 *See: [Plotting raster and vector data](../itslive/nbs/3_combining_raster_vector_data.ipynb#crop-vector-data-to-spatial-extent-of-raster-data), [Adding basemaps to plots of raster and vector data](../itslive/nbs/4_exploratory_data_analysis_single.ipynb#load-raster-data-and-visualize-with-vector-data), [Interactive visualization of vector data cubes with Xvec and GeoPandas](../itslive/nbs/5_exploratory_data_analysis_group.ipynb#visualize-velocity-data), [Interactive visualization of 2-d data with Xarray and holoviz, Sentinel-1 nb3](../sentinel1/nbs/3_asf_exploratory_analysis.ipynb#interactive-visualization-of-layover-shadow-maps), [Using xr.FacetGrid for data inspection and cleaning](../sentinel1/nbs/3_asf_exploratory_analysis.ipynb#d-duplicate-time-steps), [Different ways of plotting 2-d data side-by-side](../sentinel1/nbs/3_asf_exploratory_analysis.ipynb#f-data-visualization), [Interactive visualization of time series data with Xarray and holoviz](../sentinel1/nbs/3_asf_exploratory_analysis.ipynb#backscatter-time-series), and [Visual dataset comparison](../sentinel1/nbs/5_comparing_s1_rtc_datasets.ipynb#d-visualize-comparisons).*
 
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-*See: [Plotting raster and vector data](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/itslive/nbs/3_combining_raster_vector_data.html#crop-vector-data-to-spatial-extent-of-raster-data), [Adding basemaps to plots of raster and vector data](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/itslive/nbs/4_exploratory_data_analysis_single.html#load-raster-data-and-visualize-with-vector-data), [Interactive visualization of vector data cubes with Xvec and GeoPandas](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/itslive/nbs/5_exploratory_data_analysis_group.html#visualize-velocity-data), [Interactive visualization of 2-d data with Xarray and holoviz, Sentinel-1 nb3](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/sentinel1/nbs/3_asf_exploratory_analysis.html#interactive-visualization-of-layover-shadow-maps), [Using xr.FacetGrid for data inspection and cleaning](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/sentinel1/nbs/3_asf_exploratory_analysis.html#d-duplicate-time-steps), [Different ways of plotting 2-d data side-by-side](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/sentinel1/nbs/3_asf_exploratory_analysis.html#f-data-visualization), [Interactive visualization of time series data with Xarray and holoviz](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/sentinel1/nbs/3_asf_exploratory_analysis.html#backscatter-time-series), and [Visual dataset comparison](https://e-marshall.github.io/cloud-open-source-geospatial-data-cube-workflows/sentinel1/nbs/5_comparing_s1_rtc_datasets.html#d-visualize-comparisons).*
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 ## Making analysis-ready data cubes
 Several notebooks focused on the tasks of organizing data cubes so that they were appropriate representations of physical observables and attaching relevant metadata to relevant variables and along appropriate dimensions.