edited for manuscript

README.md

@@ -17,21 +17,18 @@ __Note:__ These are large files. Git Large File Storage (Git LFS) is enabled, if
 
 ### Notebooks
 
-#### Spearmans Rho for one lake and one radius:
-
-1. bielersee_results.ipynb
-2. lac_leman.ipynb
 
 #### Spearmans Rho for all locations:
 
-1. project_results.ipynb
-2. hex-3000-m.ipynb: the test at 1'500 m was is repeated with the most recent map values 
+1. project_results.ipynb : the test was conducted at different buffer radiuses 1'500 m - 10'000 m
+2. hex-3000-m.ipynb: the test at 1'500 m was is repeated with the most recent map values using only lakes
+3. hex-3000-m-rivers.ipynb: the test at 1'500 m was is repeated with the most recent map values using only rivers
 
-#### Lenth to discharge point and length of river section:
+#### Length to discharge point and length of river section:
 
 1. consider_distance_to_river.ipynb
 
-#### Probability - logistic regression
+#### Probability
 
 1. probability.ipynb
 

_build/jupyter_execute/hex-3000-m-rivers.ipynb

@@ -362,7 +362,7 @@
    "source": [
     "# Rivers: new map data\n",
     "\n",
-    "This document repeats the calculations in the first three sections and incorporates the methods in the fourth section. There are some key differnces:\n",
+    "This document repeats the calculations in section three but only includes survey results from locations on river-banks.\n",
     "\n",
     "1. There are no excluded regions\n",
     "2. There is geo-data for all regions under consieration\n",
@@ -492,57 +492,57 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_5b173 tr:nth-child(even) {\n",
+       "#T_0d873 tr:nth-child(even) {\n",
        "  background-color: rgba(139, 69, 19, 0.08);\n",
        "}\n",
-       "#T_5b173 tr:nth-child(odd) {\n",
+       "#T_0d873 tr:nth-child(odd) {\n",
        "  background: #FFF;\n",
        "}\n",
-       "#T_5b173 tr {\n",
+       "#T_0d873 tr {\n",
        "  font-size: 12px;\n",
        "}\n",
-       "#T_5b173 th:nth-child(1) {\n",
+       "#T_0d873 th:nth-child(1) {\n",
        "  background-color: #FFF;\n",
        "  text-align: right;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_5b173\">\n",
+       "<table id=\"T_0d873\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_5b173_level0_col0\" class=\"col_heading level0 col0\" >0</th>\n",
+       "      <th id=\"T_0d873_level0_col0\" class=\"col_heading level0 col0\" >0</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_5b173_level0_row0\" class=\"row_heading level0 row0\" >n locations</th>\n",
-       "      <td id=\"T_5b173_row0_col0\" class=\"data row0 col0\" >50</td>\n",
+       "      <th id=\"T_0d873_level0_row0\" class=\"row_heading level0 row0\" >n locations</th>\n",
+       "      <td id=\"T_0d873_row0_col0\" class=\"data row0 col0\" >50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_5b173_level0_row1\" class=\"row_heading level0 row1\" >n samples</th>\n",
-       "      <td id=\"T_5b173_row1_col0\" class=\"data row1 col0\" >55</td>\n",
+       "      <th id=\"T_0d873_level0_row1\" class=\"row_heading level0 row1\" >n samples</th>\n",
+       "      <td id=\"T_0d873_row1_col0\" class=\"data row1 col0\" >55</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_5b173_level0_row2\" class=\"row_heading level0 row2\" >n lake samples</th>\n",
-       "      <td id=\"T_5b173_row2_col0\" class=\"data row2 col0\" >55</td>\n",
+       "      <th id=\"T_0d873_level0_row2\" class=\"row_heading level0 row2\" >n lake samples</th>\n",
+       "      <td id=\"T_0d873_row2_col0\" class=\"data row2 col0\" >55</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_5b173_level0_row3\" class=\"row_heading level0 row3\" >n identified object types</th>\n",
-       "      <td id=\"T_5b173_row3_col0\" class=\"data row3 col0\" >141</td>\n",
+       "      <th id=\"T_0d873_level0_row3\" class=\"row_heading level0 row3\" >n identified object types</th>\n",
+       "      <td id=\"T_0d873_row3_col0\" class=\"data row3 col0\" >141</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_5b173_level0_row4\" class=\"row_heading level0 row4\" >n possible object types</th>\n",
-       "      <td id=\"T_5b173_row4_col0\" class=\"data row4 col0\" >229</td>\n",
+       "      <th id=\"T_0d873_level0_row4\" class=\"row_heading level0 row4\" >n possible object types</th>\n",
+       "      <td id=\"T_0d873_row4_col0\" class=\"data row4 col0\" >229</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_5b173_level0_row5\" class=\"row_heading level0 row5\" >total number of objects</th>\n",
-       "      <td id=\"T_5b173_row5_col0\" class=\"data row5 col0\" >2475</td>\n",
+       "      <th id=\"T_0d873_level0_row5\" class=\"row_heading level0 row5\" >total number of objects</th>\n",
+       "      <td id=\"T_0d873_row5_col0\" class=\"data row5 col0\" >2475</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fac7b4d54f0>"
+       "<pandas.io.formats.style.Styler at 0x7fbcd4097eb0>"
       ]
      },
      "execution_count": 3,
@@ -1408,74 +1408,74 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_9ea0f tr:nth-child(even) {\n",
+       "#T_32c68 tr:nth-child(even) {\n",
        "  background-color: rgba(139, 69, 19, 0.08);\n",
        "}\n",
-       "#T_9ea0f tr:nth-child(odd) {\n",
+       "#T_32c68 tr:nth-child(odd) {\n",
        "  background: #FFF;\n",
        "}\n",
-       "#T_9ea0f tr {\n",
+       "#T_32c68 tr {\n",
        "  font-size: 12px;\n",
        "}\n",
-       "#T_9ea0f th:nth-child(1) {\n",
+       "#T_32c68 th:nth-child(1) {\n",
        "  background-color: #FFF;\n",
        "  text-align: right;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_9ea0f\">\n",
+       "<table id=\"T_32c68\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_9ea0f_level0_col0\" class=\"col_heading level0 col0\" >quantity</th>\n",
-       "      <th id=\"T_9ea0f_level0_col1\" class=\"col_heading level0 col1\" >Proportion [%]</th>\n",
+       "      <th id=\"T_32c68_level0_col0\" class=\"col_heading level0 col0\" >quantity</th>\n",
+       "      <th id=\"T_32c68_level0_col1\" class=\"col_heading level0 col1\" >Proportion [%]</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row0\" class=\"row_heading level0 row0\" >Food and drinks</th>\n",
-       "      <td id=\"T_9ea0f_row0_col0\" class=\"data row0 col0\" >451.0</td>\n",
-       "      <td id=\"T_9ea0f_row0_col1\" class=\"data row0 col1\" >18.2</td>\n",
+       "      <th id=\"T_32c68_level0_row0\" class=\"row_heading level0 row0\" >Food and drinks</th>\n",
+       "      <td id=\"T_32c68_row0_col0\" class=\"data row0 col0\" >451.0</td>\n",
+       "      <td id=\"T_32c68_row0_col1\" class=\"data row0 col1\" >18.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row1\" class=\"row_heading level0 row1\" >Industry</th>\n",
-       "      <td id=\"T_9ea0f_row1_col0\" class=\"data row1 col0\" >218.0</td>\n",
-       "      <td id=\"T_9ea0f_row1_col1\" class=\"data row1 col1\" >8.8</td>\n",
+       "      <th id=\"T_32c68_level0_row1\" class=\"row_heading level0 row1\" >Industry</th>\n",
+       "      <td id=\"T_32c68_row1_col0\" class=\"data row1 col0\" >218.0</td>\n",
+       "      <td id=\"T_32c68_row1_col1\" class=\"data row1 col1\" >8.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row2\" class=\"row_heading level0 row2\" >Others</th>\n",
-       "      <td id=\"T_9ea0f_row2_col0\" class=\"data row2 col0\" >38.0</td>\n",
-       "      <td id=\"T_9ea0f_row2_col1\" class=\"data row2 col1\" >1.5</td>\n",
+       "      <th id=\"T_32c68_level0_row2\" class=\"row_heading level0 row2\" >Others</th>\n",
+       "      <td id=\"T_32c68_row2_col0\" class=\"data row2 col0\" >38.0</td>\n",
+       "      <td id=\"T_32c68_row2_col1\" class=\"data row2 col1\" >1.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row3\" class=\"row_heading level0 row3\" >Packaging (non-food)</th>\n",
-       "      <td id=\"T_9ea0f_row3_col0\" class=\"data row3 col0\" >87.0</td>\n",
-       "      <td id=\"T_9ea0f_row3_col1\" class=\"data row3 col1\" >3.5</td>\n",
+       "      <th id=\"T_32c68_level0_row3\" class=\"row_heading level0 row3\" >Packaging (non-food)</th>\n",
+       "      <td id=\"T_32c68_row3_col0\" class=\"data row3 col0\" >87.0</td>\n",
+       "      <td id=\"T_32c68_row3_col1\" class=\"data row3 col1\" >3.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row4\" class=\"row_heading level0 row4\" >Plastic fragments and pieces</th>\n",
-       "      <td id=\"T_9ea0f_row4_col0\" class=\"data row4 col0\" >50.0</td>\n",
-       "      <td id=\"T_9ea0f_row4_col1\" class=\"data row4 col1\" >2.0</td>\n",
+       "      <th id=\"T_32c68_level0_row4\" class=\"row_heading level0 row4\" >Plastic fragments and pieces</th>\n",
+       "      <td id=\"T_32c68_row4_col0\" class=\"data row4 col0\" >50.0</td>\n",
+       "      <td id=\"T_32c68_row4_col1\" class=\"data row4 col1\" >2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row5\" class=\"row_heading level0 row5\" >Sanitary</th>\n",
-       "      <td id=\"T_9ea0f_row5_col0\" class=\"data row5 col0\" >305.0</td>\n",
-       "      <td id=\"T_9ea0f_row5_col1\" class=\"data row5 col1\" >12.3</td>\n",
+       "      <th id=\"T_32c68_level0_row5\" class=\"row_heading level0 row5\" >Sanitary</th>\n",
+       "      <td id=\"T_32c68_row5_col0\" class=\"data row5 col0\" >305.0</td>\n",
+       "      <td id=\"T_32c68_row5_col1\" class=\"data row5 col1\" >12.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row6\" class=\"row_heading level0 row6\" >Tobacco</th>\n",
-       "      <td id=\"T_9ea0f_row6_col0\" class=\"data row6 col0\" >300.0</td>\n",
-       "      <td id=\"T_9ea0f_row6_col1\" class=\"data row6 col1\" >12.1</td>\n",
+       "      <th id=\"T_32c68_level0_row6\" class=\"row_heading level0 row6\" >Tobacco</th>\n",
+       "      <td id=\"T_32c68_row6_col0\" class=\"data row6 col0\" >300.0</td>\n",
+       "      <td id=\"T_32c68_row6_col1\" class=\"data row6 col1\" >12.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9ea0f_level0_row7\" class=\"row_heading level0 row7\" >Total</th>\n",
-       "      <td id=\"T_9ea0f_row7_col0\" class=\"data row7 col0\" >1449.0</td>\n",
-       "      <td id=\"T_9ea0f_row7_col1\" class=\"data row7 col1\" >58.4</td>\n",
+       "      <th id=\"T_32c68_level0_row7\" class=\"row_heading level0 row7\" >Total</th>\n",
+       "      <td id=\"T_32c68_row7_col0\" class=\"data row7 col0\" >1449.0</td>\n",
+       "      <td id=\"T_32c68_row7_col1\" class=\"data row7 col1\" >58.4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fabe9c03b80>"
+       "<pandas.io.formats.style.Styler at 0x7fbc440aabe0>"
       ]
      },
      "execution_count": 13,
@@ -1653,7 +1653,7 @@
       "text/markdown": [
        "\n",
        "\n",
-       "This script updated 26/05/2023 in Biel, CH\n",
+       "This script updated 08/08/2023 in Biel, CH\n",
        "\n",
        "> ❤️ what you do everyday\n",
        "\n",
@@ -1701,14 +1701,14 @@
       "\n",
       "Git branch: main\n",
       "\n",
-      "seaborn   : 0.12.2\n",
-      "numpy     : 1.24.2\n",
-      "scipy     : 1.10.1\n",
-      "PIL       : 9.5.0\n",
-      "matplotlib: 3.7.1\n",
       "IPython   : 8.12.0\n",
+      "numpy     : 1.24.2\n",
       "json      : 2.0.9\n",
+      "matplotlib: 3.7.1\n",
+      "PIL       : 9.5.0\n",
       "pandas    : 2.0.0\n",
+      "scipy     : 1.10.1\n",
+      "seaborn   : 0.12.2\n",
       "\n"
      ]
     }