Added draft notebook with potential outline after call

Author: dshean

shean_UWGDA_w2019_notebooks/shean_IS2hw_DataAnalytics_draft.ipynb

@@ -0,0 +1,120 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# A subset of high-level geospatial data science strategies*:\n",
+    "## Relevant core concepts and existing tools for analysis, visualization, and interpretation\n",
+    "*Not intended for trillions of ATL03 points\n",
+    "\n",
+    "ICESat-2 hackweek  \n",
+    "June 18, 2019  \n",
+    "David Shean"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Updated rough outline after call on 5/28/19"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction\n",
+    "## Two pathways\n",
+    "1. Efficient data processing, scalable workflows\n",
+    "2. High-level data science - *analysis, interpetation, and visualization*\n",
+    "\n",
+    "## ICESat GLAS review?\n",
+    "\n",
+    "## Core geospatial concepts\n",
+    "### Datums and projections\n",
+    "An essential, but often overlooked decision\n",
+    "\n",
+    "#### Datum selection\n",
+    "* Background on ECEF, ellipsoid, and geoid heights\n",
+    "* Satellites use ECEF, ellipsoid is simple shape model - limited error\n",
+    "* Geoid models are coarse and *always* introduce error, but provide elevations \n",
+    "* Sea ice, freeboard height - need to use a geoid (talk to your community on best practices)\n",
+    "* Careful about incorporating other datesets, geoid to ellipsoid offsets are +/-100 m\n",
+    "* In practice - pick one, and use it consistently for relative elevation change\n",
+    "\n",
+    "#### Projection selection\n",
+    "* Do you need to measure distances?\n",
+    "* Do you need to calculate areas?  Volume change?\n",
+    "* In practice - community knows best practices, South Polar Stereographic (EPSG:3031), North Polar Stereographic (EPSG:3413)\n",
+    "* Understand the limitations - not equidistant, so velocities will contain error depending on location\n",
+    "\n",
+    "## Core geospatial data operations\n",
+    "### Scatterplots, chloropleth maps, histograms\n",
+    "### Spatial selection by arbitrary polygons\n",
+    "### Spatial aggregation and statistics\n",
+    "\n",
+    "## The Python geospatial landscape\n",
+    "### Existing tools: geopandas, rasterio, GDAL, cartopy?\n",
+    "#### Geohackweek overview in 5 minutes\n",
+    "\n",
+    "### Saving point cloud data\n",
+    "* NumPy csv output\n",
+    "* Geopandas/fiona - shp, geopackage, database formats, strategies\n",
+    "### Visualizing\n",
+    "\n",
+    "## Integrating Raster and Point data\n",
+    "### Loading raster DEM, basic point sampling, difference maps\n",
+    "### Filtering bad shots - simple cloud filter\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Objectives (pulled from GDA course notebooks, need to be refined and updated to reflect content)\n",
+    "\n",
+    "* Apply some of the core NumPy, Pandas, and Matplotlib functionality\n",
+    "* Learn basic data manipulation and exploration with a relatively small, clean point dataset\n",
+    "\n",
+    "* Review some fundamental concepts that are common to most geospatial analysis\n",
+    "* Explore coordinate systems, projections and transformations, geometry types\n",
+    "* Create more sophisticated visualizations involving multiple layers and data types\n",
+    "\n",
+    "* Continue to explore GeoPandas functionality, including spatial joins\n",
+    "* Explore geospatial hexbin plots\n",
+    "\n",
+    "* Sampling a raster at discrete point locations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
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+   "language": "python",
+   "name": "python3"
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+   "mimetype": "text/x-python",
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
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+}