updates

docs/search.json

@@ -1,11 +1,4 @@
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-    "title": "Hello, I’m Jess!",
-    "section": "",
-    "text": "I’m an analytics and insight specialist with nearly a decade of experience across a number of roles and sectors. In September 2023 I decided to take a career break to expand my skillset (like building this website!) and explore new opportunities.\nI’m currently pursuing an MSc in Urban Data Science and Analytics at the University of Leeds, whilst working as a Freelance Consultant. My studies have deepened my analytical and research capabilities whilst giving me the time and space to delve into all things geospatial!\nYou can find some of my work, or just things I’ve been playing around with and trying to learn, on this website.\n\n\nYou can find me on GitHub and LinkedIn here:"
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@@ -20,27 +13,6 @@
     "section": "",
     "text": "A spatial analysis of access to greenspace and deprivation in Bradford\nUsing a GWR model to analyze the relationship between nearest greenspace and dimensions of deprivation by Output Area within the Bradford local authority district."
   },
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-    "objectID": "projects/index.html#other-projects",
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-    "title": "Projects",
-    "section": "Other projects",
-    "text": "Other projects"
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-    "objectID": "projects/index.html#access-to-greenspace-1",
-    "href": "projects/index.html#access-to-greenspace-1",
-    "title": "Projects",
-    "section": "Access to greenspace",
-    "text": "Access to greenspace\n\n\n\nA spatial analysis of access to greenspace and deprivation in Bradford Using a GWR model to analyze the relationship between nearest greenspace and dimensions of deprivation by Output Area within the Bradford local authority district"
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-    "title": "A spatial analysis of access to greenspace and deprivation in Bradford",
-    "section": "",
-    "text": "The full study can be found here or you can go back to see more projects.\n\n\nSummary\nGreenspace is an important part of urban life, with benefits for humans and the environment. Analysing Bradford local authority district, this study builds on the growing literature addressing the challenge of greenspace accessibility by focusing on each deprivation dimension recorded in the 2021 Census.\nBradford is a large district, with a young and diverse population. Health and housing inequalities are known issues, whilst greenspace varies across the district in terms of quantity, type and size. The council has embedded greenspace within its long-term strategy, aiming to make sure they are safe, inclusive and that investment is delivered where it is needed most.\nThis study brings together 2021 Census data on each dimension of deprivation (education, employment, health and housing) by Output Area (OA), and combines this with Ordanance Survey data on greenspace in the district. After some initial data wrangling, a series of statistics and visualisations help to illustrate the data that will be used in the subsequent modelling.\nFirst, using an OLS regression model, the variables are analysed to understand the significance of their relationship with access to greenspace - defined here as the distance to the nearest greenspace. This shows that employment deprivation is not statistically significant, and is subsequently removed.\nFurther investigation using a range of techniques, including Moran’s I and LISA clusters, shows that there is spatial autocorrelation present and so a Geographically Weighted Regression model (GWR) is built. The results of this reject the null hypothesis that there is not a statistically significant relationship present between dimensions of deprivation and access to greenspace.\nThis study therefore argues that any future policy interventions need to take into consideration deprivation and its relationship with greenspace.\n\n\n\nDisclaimer\nThis notebook was submitted for assessment within the GEOG5402 Data Science for Urban Systems module as part of the MSc Urban Data Science & Analytics programme at the University of Leeds.\nThe content of this notebook is intended for educational and general use purposes only.\nAny use of the materials should adhere to the guidelines and policies of your educational institution.\nThe author does not take any responsibility for how the materials in this repository are utilised."
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@@ -124,5 +96,19 @@
     "title": "A spatial analysis of access to greenspace and deprivation in Bradford",
     "section": "Appendix 1 - Wrangled dataframes",
     "text": "Appendix 1 - Wrangled dataframes\nThis appendix contains visual checks of the top five rows of the wrangled dataframes created in section 5.\n\nBradford OA polygons dataframe\nBradford_OA_polygons.head()\n\n\n\n\n\n\nOA21CD\n\n\nPolygon\n\n\nCity\n\n\n\n\n\n\n0\n\n\nE00053353\n\n\nPOLYGON ((415817.093 440872.597, 415821.094 44…\n\n\nBradford\n\n\n\n\n1\n\n\nE00053354\n\n\nPOLYGON ((415078.000 439967.001, 415058.323 43…\n\n\nBradford\n\n\n\n\n2\n\n\nE00053355\n\n\nPOLYGON ((416252.367 439816.041, 416253.270 43…\n\n\nBradford\n\n\n\n\n3\n\n\nE00053356\n\n\nPOLYGON ((416668.000 439392.028, 416667.653 43…\n\n\nBradford\n\n\n\n\n4\n\n\nE00053357\n\n\nPOLYGON ((415143.909 439176.235, 415143.000 43…\n\n\nBradford\n\n\n\n\n\n\nBradford OA population weighted centroids dataframe\nBradford_OA_PWC.head()\n\n\n\n\n\n\nOA21CD\n\n\nPWC\n\n\n\n\n\n\n0\n\n\nE00053353\n\n\nPOINT (413638.052 439495.615)\n\n\n\n\n1\n\n\nE00053354\n\n\nPOINT (414837.013 439813.246)\n\n\n\n\n2\n\n\nE00053355\n\n\nPOINT (416162.559 439674.009)\n\n\n\n\n3\n\n\nE00053356\n\n\nPOINT (416591.137 439417.227)\n\n\n\n\n4\n\n\nE00053357\n\n\nPOINT (414671.681 439110.823)\n\n\n\n\n\n\nBradford greenspace polygons (unique list)\nBradford_greenspace_site_unique.head()\n\n\n\n\n\n\nGreenspace_ID\n\n\nType\n\n\nPolygon\n\n\n\n\n\n\n0\n\n\n0295ED18-D538-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\nPOLYGON Z ((414018.070 438415.690 0.000, 41399…\n\n\n\n\n1\n\n\n0295ED18-E5D4-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\nPOLYGON Z ((415193.700 439129.550 0.000, 41519…\n\n\n\n\n2\n\n\n0295ED18-F2F3-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\nPOLYGON Z ((415690.440 439919.060 0.000, 41568…\n\n\n\n\n3\n\n\n0295ECC9-0C25-5C37-E063-AAEFA00A445E\n\n\nPlay Space\n\n\nPOLYGON Z ((416739.570 439592.210 0.000, 41675…\n\n\n\n\n4\n\n\n0295ECC7-FBFC-5C37-E063-AAEFA00A445E\n\n\nPlay Space\n\n\nPOLYGON Z ((415991.960 438808.610 0.000, 41598…\n\n\n\n\n\n\nNearest greenspace to each OA (unique list)\nunique_nearest_greenspace.head()\n\n\n\n\n\n\nOA21CD\n\n\nGreenspace_ID\n\n\nType\n\n\nDistance\n\n\n\n\n\n\n0\n\n\nE00053353\n\n\n0295ED18-D538-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\n1000.455806\n\n\n\n\n1\n\n\nE00053354\n\n\n0295ED18-E5D4-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\n771.145845\n\n\n\n\n2\n\n\nE00053355\n\n\n0295ED18-F2F3-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\n418.265674\n\n\n\n\n3\n\n\nE00053356\n\n\n0295ECC9-0C25-5C37-E063-AAEFA00A445E\n\n\nPlay Space\n\n\n194.292561\n\n\n\n\n4\n\n\nE00053357\n\n\n0295ED18-E5D4-5C37-E063-AAEFA00A445E\n\n\nPlaying Field\n\n\n432.352481\n\n\n\n\n\n\nIndependent variables dataframe\nInd_vars.head()\n\n\n\n\n\n\nOutput Areas Code\n\n\nHHD_dep_education_PC\n\n\nHHD_dep_employment_PC\n\n\nHHD_dep_health_PC\n\n\nHHD_dep_housing_PC\n\n\n\n\n\n\n0\n\n\nE00053353\n\n\n28.3\n\n\n11.5\n\n\n33.6\n\n\n7.8\n\n\n\n\n1\n\n\nE00053354\n\n\n17.3\n\n\n6.8\n\n\n30.8\n\n\n5.3\n\n\n\n\n2\n\n\nE00053355\n\n\n11.2\n\n\n4.9\n\n\n22.0\n\n\n1.6\n\n\n\n\n3\n\n\nE00053356\n\n\n21.5\n\n\n4.2\n\n\n34.0\n\n\n4.9\n\n\n\n\n4\n\n\nE00053357\n\n\n14.2\n\n\n3.5\n\n\n21.3\n\n\n0.7"
+  },
+  {
+    "objectID": "index.html",
+    "href": "index.html",
+    "title": "Hello, I’m Jess!",
+    "section": "",
+    "text": "I’m an analytics and insight specialist with nearly a decade of experience across a number of roles and sectors. In September 2023 I decided to take a career break to expand my skillset (like building this website!) and explore new opportunities.\nI’m currently pursuing an MSc in Urban Data Science and Analytics at the University of Leeds, whilst working as a Freelance Consultant. My studies have deepened my analytical and research capabilities whilst giving me the time and space to delve into all things geospatial!\nYou can find some of my work, or just things I’ve been playing around with and trying to learn, on this website.\n\n\nYou can find me on GitHub and LinkedIn here:"
+  },
+  {
+    "objectID": "projects/access-to-greenspace/index.html",
+    "href": "projects/access-to-greenspace/index.html",
+    "title": "A spatial analysis of access to greenspace and deprivation in Bradford",
+    "section": "",
+    "text": "The full study can be found here or you can go back to see more projects.\n\n\nSummary\nGreenspace is an important part of urban life, with benefits for humans and the environment. Analysing Bradford local authority district, this study builds on the growing literature addressing the challenge of greenspace accessibility by focusing on each deprivation dimension recorded in the 2021 Census.\nBradford is a large district, with a young and diverse population. Health and housing inequalities are known issues, whilst greenspace varies across the district in terms of quantity, type and size. The council has embedded greenspace within its long-term strategy, aiming to make sure they are safe, inclusive and that investment is delivered where it is needed most.\nThis study brings together 2021 Census data on each dimension of deprivation (education, employment, health and housing) by Output Area (OA), and combines this with Ordanance Survey data on greenspace in the district. After some initial data wrangling, a series of statistics and visualisations help to illustrate the data that will be used in the subsequent modelling.\nFirst, using an OLS regression model, the variables are analysed to understand the significance of their relationship with access to greenspace - defined here as the distance to the nearest greenspace. This shows that employment deprivation is not statistically significant, and is subsequently removed.\nFurther investigation using a range of techniques, including Moran’s I and LISA clusters, shows that there is spatial autocorrelation present and so a Geographically Weighted Regression model (GWR) is built. The results of this reject the null hypothesis that there is not a statistically significant relationship present between dimensions of deprivation and access to greenspace.\nThis study therefore argues that any future policy interventions need to take into consideration deprivation and its relationship with greenspace.\n\n\n\nDisclaimer\nThis notebook was submitted for assessment within the GEOG5402 Data Science for Urban Systems module as part of the MSc Urban Data Science & Analytics programme at the University of Leeds.\nThe content of this notebook is intended for educational and general use purposes only.\nAny use of the materials should adhere to the guidelines and policies of your educational institution.\nThe author does not take any responsibility for how the materials in this repository are utilised."
   }
 ]