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in Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"validation\", \"curation\", \"publication\"], \"email\": | 4 | \"validation\", \"curation\", \"publication\"], \"email\": | ||
5 | \"beatriz.daunt@wsl.ch\", \"given_name\": \"Ana Beatriz\", | 5 | \"beatriz.daunt@wsl.ch\", \"given_name\": \"Ana Beatriz\", | ||
6 | \"identifier\": \"0000-0002-7384-738X\", \"name\": \"Pierri Daunt\"}, | 6 | \"identifier\": \"0000-0002-7384-738X\", \"name\": \"Pierri Daunt\"}, | ||
7 | {\"affiliation\": \"Ruhr-University Bochum Department of Geography\", | 7 | {\"affiliation\": \"Ruhr-University Bochum Department of Geography\", | ||
8 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 8 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
9 | \"collection\", \"email\": \"luis.inostroza@ruhr-uni-bochum.de\", | 9 | \"collection\", \"email\": \"luis.inostroza@ruhr-uni-bochum.de\", | ||
10 | \"given_name\": \"Luis\", \"identifier\": \"0000-0002-6303-4529\", | 10 | \"given_name\": \"Luis\", \"identifier\": \"0000-0002-6303-4529\", | ||
11 | \"name\": \"Inostroza\"}, {\"affiliation\": \"WSL\", | 11 | \"name\": \"Inostroza\"}, {\"affiliation\": \"WSL\", | ||
12 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 12 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
13 | \"supervision\", \"email\": \"anna.hersperger@wsl.ch\", | 13 | \"supervision\", \"email\": \"anna.hersperger@wsl.ch\", | ||
14 | \"given_name\": \"Anna\", \"identifier\": \"0000-0001-5407-533X\", | 14 | \"given_name\": \"Anna\", \"identifier\": \"0000-0001-5407-533X\", | ||
15 | \"name\": \"Hersperger\"}]", | 15 | \"name\": \"Hersperger\"}]", | ||
16 | "author_email": null, | 16 | "author_email": null, | ||
17 | "creator_user_id": "4fb1f029-b595-4bac-93e3-1fd94d2c5fc6", | 17 | "creator_user_id": "4fb1f029-b595-4bac-93e3-1fd94d2c5fc6", | ||
18 | "date": "[{\"date\": \"2019-09-01\", \"date_type\": \"collected\", | 18 | "date": "[{\"date\": \"2019-09-01\", \"date_type\": \"collected\", | ||
19 | \"end_date\": \"2020-12-01\"}]", | 19 | \"end_date\": \"2020-12-01\"}]", | ||
20 | "doi": "10.16904/envidat.268", | 20 | "doi": "10.16904/envidat.268", | ||
21 | "funding": "[{\"grant_number\": \"2019.0155\", \"institution\": | 21 | "funding": "[{\"grant_number\": \"2019.0155\", \"institution\": | ||
22 | \"Swiss Government Excellence Scholarships for Foreign Scholars\", | 22 | \"Swiss Government Excellence Scholarships for Foreign Scholars\", | ||
23 | \"institution_url\": | 23 | \"institution_url\": | ||
24 | olarships-and-grants/swiss-government-excellence-scholarships.html\"}, | 24 | olarships-and-grants/swiss-government-excellence-scholarships.html\"}, | ||
25 | {\"grant_number\": \"BSCGIO 157789\", \"institution\": \"Swiss | 25 | {\"grant_number\": \"BSCGIO 157789\", \"institution\": \"Swiss | ||
26 | National Science Foundation\", \"institution_url\": | 26 | National Science Foundation\", \"institution_url\": | ||
27 | \"https://www.snf.ch/\"}]", | 27 | \"https://www.snf.ch/\"}]", | ||
28 | "groups": [], | 28 | "groups": [], | ||
29 | "id": "cdbd343b-fe3b-4404-a9ed-6a2516ec4610", | 29 | "id": "cdbd343b-fe3b-4404-a9ed-6a2516ec4610", | ||
30 | "isopen": true, | 30 | "isopen": true, | ||
31 | "language": "en", | 31 | "language": "en", | ||
32 | "license_id": "CC0-1.0", | 32 | "license_id": "CC0-1.0", | ||
33 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | 33 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | ||
34 | 1.0)", | 34 | 1.0)", | ||
35 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 35 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
36 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 36 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
37 | \"beatriz.daunt@wsl.ch\", \"given_name\": \"Ana Beatriz\", | 37 | \"beatriz.daunt@wsl.ch\", \"given_name\": \"Ana Beatriz\", | ||
38 | \"identifier\": \"0000-0002-7384-738X\", \"name\": \"Pierri Daunt\"}", | 38 | \"identifier\": \"0000-0002-7384-738X\", \"name\": \"Pierri Daunt\"}", | ||
39 | "maintainer_email": null, | 39 | "maintainer_email": null, | ||
40 | "metadata_created": "2022-01-06T14:25:44.285571", | 40 | "metadata_created": "2022-01-06T14:25:44.285571", | ||
n | 41 | "metadata_modified": "2022-01-06T16:51:17.147361", | n | 41 | "metadata_modified": "2022-01-06T17:06:34.663083", |
42 | "name": "spatial-planning-brazil", | 42 | "name": "spatial-planning-brazil", | ||
43 | "notes": "The present dataset is part of the published scientific | 43 | "notes": "The present dataset is part of the published scientific | ||
44 | paper entitled \u201cThe role of spatial planning in land change: An | 44 | paper entitled \u201cThe role of spatial planning in land change: An | ||
45 | assessment of urban planning and nature conservation efficiency at the | 45 | assessment of urban planning and nature conservation efficiency at the | ||
46 | southeastern coast of Brazil\u201d (Pierri Daunt, Inostroza and | 46 | southeastern coast of Brazil\u201d (Pierri Daunt, Inostroza and | ||
47 | Hersperger, 2021). In this work, we evaluated the conformance of | 47 | Hersperger, 2021). In this work, we evaluated the conformance of | ||
48 | stated spatial planning goals and the outcomes in terms of urban | 48 | stated spatial planning goals and the outcomes in terms of urban | ||
49 | compactness, basic services and housing provision, and nature | 49 | compactness, basic services and housing provision, and nature | ||
50 | conservation for different land-use strategies. We evaluate the 2005 | 50 | conservation for different land-use strategies. We evaluate the 2005 | ||
51 | Ecological-Economic Zoning (EEZ) and two municipal master plans from | 51 | Ecological-Economic Zoning (EEZ) and two municipal master plans from | ||
52 | 2006 in a coastal region in S\u00e3o Paulo State, Brazil. We used | 52 | 2006 in a coastal region in S\u00e3o Paulo State, Brazil. We used | ||
53 | Partial Least Squares Path Modelling (PLS-PM) to explain the | 53 | Partial Least Squares Path Modelling (PLS-PM) to explain the | ||
54 | relationship between the plan strategies and land-use change ten years | 54 | relationship between the plan strategies and land-use change ten years | ||
55 | after implementation in terms of urban compactness, basic services and | 55 | after implementation in terms of urban compactness, basic services and | ||
56 | housing increase, and nature conservation.\r\n\r\nWe acquired the data | 56 | housing increase, and nature conservation.\r\n\r\nWe acquired the data | ||
57 | for the explanatory variables from different sources listed on Table | 57 | for the explanatory variables from different sources listed on Table | ||
58 | 1. Since the model is spatially explicit, all input data were | 58 | 1. Since the model is spatially explicit, all input data were | ||
59 | transformed to a 30 m resolution raster. Regarding the evaluated | 59 | transformed to a 30 m resolution raster. Regarding the evaluated | ||
60 | spatial plans, we acquired the zones limits from the S\u00e3o Paulo | 60 | spatial plans, we acquired the zones limits from the S\u00e3o Paulo | ||
61 | State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba | 61 | State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba | ||
62 | municipality.\r\n\r\n1)\tLand use and cover data: Urban persistence, | 62 | municipality.\r\n\r\n1)\tLand use and cover data: Urban persistence, | ||
63 | Urban axial, Urban infill, Urban Isolates, Forest cover persistence, | 63 | Urban axial, Urban infill, Urban Isolates, Forest cover persistence, | ||
64 | Forest cover gain, NDVI increase\r\n\r\nWe acquired two Landsat | 64 | Forest cover gain, NDVI increase\r\n\r\nWe acquired two Landsat | ||
65 | Collection 1 Higher-Level Surface Reflectance images distributed by | 65 | Collection 1 Higher-Level Surface Reflectance images distributed by | ||
66 | the U.S. Geological Survey (USGS), covering the entire study area | 66 | the U.S. Geological Survey (USGS), covering the entire study area | ||
67 | (paths 76 and 77, row 220, WRS-2 reference system, | 67 | (paths 76 and 77, row 220, WRS-2 reference system, | ||
68 | https://earthexplorer.usgs.gov/). We classified one image acquired by | 68 | https://earthexplorer.usgs.gov/). We classified one image acquired by | ||
69 | the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one | 69 | the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one | ||
70 | image from the Landsat 8 Operational Land Imager (OLI) sensor from | 70 | image from the Landsat 8 Operational Land Imager (OLI) sensor from | ||
71 | 2015-08-15. We collected 100 samples for forest cover, 100 samples for | 71 | 2015-08-15. We collected 100 samples for forest cover, 100 samples for | ||
72 | built-up cover and 100 samples for other classes. We then classified | 72 | built-up cover and 100 samples for other classes. We then classified | ||
73 | these three classes of land cover at each image date using the Support | 73 | these three classes of land cover at each image date using the Support | ||
74 | Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using | 74 | Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using | ||
75 | ENVI 5.0 software. \r\n\r\nLand-use and land-cover changes from 2005 | 75 | ENVI 5.0 software. \r\n\r\nLand-use and land-cover changes from 2005 | ||
76 | to 2015 were quantified using map algebra, by mathematically adding | 76 | to 2015 were quantified using map algebra, by mathematically adding | ||
77 | them together in pairs (10*LULC2015 + LULC2005). We reclassified the | 77 | them together in pairs (10*LULC2015 + LULC2005). We reclassified the | ||
78 | LULC data into forest gain (conversion of any 2005 LULC to forest | 78 | LULC data into forest gain (conversion of any 2005 LULC to forest | ||
79 | cover in 2015); forest persistence (2005 forested pixels that remained | 79 | cover in 2015); forest persistence (2005 forested pixels that remained | ||
80 | forested in 2015); new built-up area (conversion of any 2005 LULC to | 80 | forested in 2015); new built-up area (conversion of any 2005 LULC to | ||
81 | built-up in 2015); and urban maintenance (2005 built-up pixels that | 81 | built-up in 2015); and urban maintenance (2005 built-up pixels that | ||
82 | remained built-up in 2015).\r\n\r\nTo describe the spatial | 82 | remained built-up in 2015).\r\n\r\nTo describe the spatial | ||
83 | configuration of the urban expansion, we classified the new built-up | 83 | configuration of the urban expansion, we classified the new built-up | ||
84 | areas into axial, infill and isolated, following Inostroza et al. | 84 | areas into axial, infill and isolated, following Inostroza et al. | ||
85 | (2013) (For details, please refer to Supplementary Material I at the | 85 | (2013) (For details, please refer to Supplementary Material I at the | ||
86 | original publication). \r\n\r\nThe NDVI was obtained from the same | 86 | original publication). \r\n\r\nThe NDVI was obtained from the same | ||
87 | source used for the LULC data. With the Google Engine platform, we | 87 | source used for the LULC data. With the Google Engine platform, we | ||
88 | used an annual average for the best pixels (without clouds) for 2005 | 88 | used an annual average for the best pixels (without clouds) for 2005 | ||
89 | and 2015, and we calculated the changes between dates. We used | 89 | and 2015, and we calculated the changes between dates. We used | ||
90 | increases of > 0.2 NDVI to represent an improvement in forest | 90 | increases of > 0.2 NDVI to represent an improvement in forest | ||
91 | quality.\r\n\r\n2)\tFederal Census data organization: Urban Basic | 91 | quality.\r\n\r\n2)\tFederal Census data organization: Urban Basic | ||
92 | Services and Housing indicator, socioeconomic and | 92 | Services and Housing indicator, socioeconomic and | ||
93 | population:\r\n\r\nThe data used to infer the values of basic services | 93 | population:\r\n\r\nThe data used to infer the values of basic services | ||
94 | provision, socioeconomic and population drivers was derived from the | 94 | provision, socioeconomic and population drivers was derived from the | ||
95 | Brazilian National Census data (IBGE, 2000 and 2010). Population | 95 | Brazilian National Census data (IBGE, 2000 and 2010). Population | ||
96 | density, permanent housing unit density, mean income, basic education, | 96 | density, permanent housing unit density, mean income, basic education, | ||
97 | and the percentage of houses receiving waste collection, sanitation | 97 | and the percentage of houses receiving waste collection, sanitation | ||
98 | and water provision services, called basic services in the context of | 98 | and water provision services, called basic services in the context of | ||
99 | this study, were calculated per 30 m pixel. The Human Development | 99 | this study, were calculated per 30 m pixel. The Human Development | ||
100 | Index is only available at the municipality level. We attributed the | 100 | Index is only available at the municipality level. We attributed the | ||
101 | HDI for the vector file with the municipality border, and we | 101 | HDI for the vector file with the municipality border, and we | ||
102 | rasterized (30 m resolution) this file in QGIS. Annual rates of change | 102 | rasterized (30 m resolution) this file in QGIS. Annual rates of change | ||
103 | were then calculated to allow comparability between LULC periods. To | 103 | were then calculated to allow comparability between LULC periods. To | ||
104 | infer the BSH, we used only areas with an increase in permanent | 104 | infer the BSH, we used only areas with an increase in permanent | ||
105 | housing density and basic services provision (See Supplementary | 105 | housing density and basic services provision (See Supplementary | ||
106 | Material I at the original publication).\r\n\r\n3)\tTopographic | 106 | Material I at the original publication).\r\n\r\n3)\tTopographic | ||
107 | drivers\r\n\r\nTo infer the values of the topographic driver, we used | 107 | drivers\r\n\r\nTo infer the values of the topographic driver, we used | ||
108 | the slope data and the Topographic Index Position (TPI) based on the | 108 | the slope data and the Topographic Index Position (TPI) based on the | ||
109 | digital elevation model from SRTM (30 m resolution) produced by ALOS | 109 | digital elevation model from SRTM (30 m resolution) produced by ALOS | ||
110 | (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and | 110 | (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and | ||
111 | both variables were considered constant from 2005 to 2015 (See | 111 | both variables were considered constant from 2005 to 2015 (See | ||
112 | Supplementary Material I at the original publication). ", | 112 | Supplementary Material I at the original publication). ", | ||
113 | "num_resources": 22, | 113 | "num_resources": 22, | ||
114 | "num_tags": 12, | 114 | "num_tags": 12, | ||
115 | "organization": { | 115 | "organization": { | ||
116 | "approval_status": "approved", | 116 | "approval_status": "approved", | ||
117 | "created": "2019-01-16T10:05:56.219606", | 117 | "created": "2019-01-16T10:05:56.219606", | ||
118 | "description": "The land-use systems group studies landscape | 118 | "description": "The land-use systems group studies landscape | ||
119 | patterns and processes and their changes over time. We focus on | 119 | patterns and processes and their changes over time. We focus on | ||
120 | cultural landscapes and their multifunctionality while conducting | 120 | cultural landscapes and their multifunctionality while conducting | ||
121 | research in the following topics:\r\n\r\n- Development of models for | 121 | research in the following topics:\r\n\r\n- Development of models for | ||
122 | simulating future landscape dynamics and for estimating the resulting | 122 | simulating future landscape dynamics and for estimating the resulting | ||
123 | landscape services;\r\n- Application and further development of | 123 | landscape services;\r\n- Application and further development of | ||
124 | landscape genetic methods and theories;\r\n- Analysis of historical | 124 | landscape genetic methods and theories;\r\n- Analysis of historical | ||
125 | changes in ecosystems and landscapes (focus on the past 100 to 250 | 125 | changes in ecosystems and landscapes (focus on the past 100 to 250 | ||
126 | years);\r\n- Analysis of ecological implications of landscape and | 126 | years);\r\n- Analysis of ecological implications of landscape and | ||
127 | ecosystem changes in the context of the field of historical | 127 | ecosystem changes in the context of the field of historical | ||
128 | ecology;\r\n- Analysis of actors, driving forces, and land change and | 128 | ecology;\r\n- Analysis of actors, driving forces, and land change and | ||
129 | their interaction to understand the causes of landscape change\r\n- | 129 | their interaction to understand the causes of landscape change\r\n- | ||
130 | Contributing to the further development of landscape planning, based, | 130 | Contributing to the further development of landscape planning, based, | ||
131 | for example, on conflict analysis and the evaluation of planning | 131 | for example, on conflict analysis and the evaluation of planning | ||
132 | instruments. \r\n\r\nThe landscape ecology group combines methods and | 132 | instruments. \r\n\r\nThe landscape ecology group combines methods and | ||
133 | theories from natural sciences and social sciences on spatial scales | 133 | theories from natural sciences and social sciences on spatial scales | ||
134 | from single ecosystems to continents. We are equally committed to | 134 | from single ecosystems to continents. We are equally committed to | ||
135 | theory development and innovative applications.", | 135 | theory development and innovative applications.", | ||
136 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 136 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
137 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | 137 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | ||
138 | "is_organization": true, | 138 | "is_organization": true, | ||
139 | "name": "land-use-systems", | 139 | "name": "land-use-systems", | ||
140 | "state": "active", | 140 | "state": "active", | ||
141 | "title": "Land-use systems", | 141 | "title": "Land-use systems", | ||
142 | "type": "organization" | 142 | "type": "organization" | ||
143 | }, | 143 | }, | ||
144 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 144 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
145 | "private": false, | 145 | "private": false, | ||
146 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 146 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
147 | \"EnviDat\"}", | 147 | \"EnviDat\"}", | ||
t | 148 | "publication_state": "approved", | t | 148 | "publication_state": "published", |
149 | "related_datasets": "Supplementary material: | 149 | "related_datasets": "Supplementary material: | ||
150 | -cdn.com/content/image/1-s2.0-S0264837721004944-mmc1.pdf\r\n\r\nCONCUR | 150 | -cdn.com/content/image/1-s2.0-S0264837721004944-mmc1.pdf\r\n\r\nCONCUR | ||
151 | project", | 151 | project", | ||
152 | "related_publications": " * Pierri-Daunt, A.B. Inostroza, L; | 152 | "related_publications": " * Pierri-Daunt, A.B. Inostroza, L; | ||
153 | Hersperger, A. M. 2021. The role of spatial planning in land change: | 153 | Hersperger, A. M. 2021. The role of spatial planning in land change: | ||
154 | an assessment of urban planning and nature conservation efficiency. | 154 | an assessment of urban planning and nature conservation efficiency. | ||
155 | Land Use Policy, 111, 105771 | 155 | Land Use Policy, 111, 105771 | ||
156 | https://doi.org/10.1016/j.landusepol.2021.105771\r\n\r\n", | 156 | https://doi.org/10.1016/j.landusepol.2021.105771\r\n\r\n", | ||
157 | "relationships_as_object": [], | 157 | "relationships_as_object": [], | ||
158 | "relationships_as_subject": [], | 158 | "relationships_as_subject": [], | ||
159 | "resource_type": "dataset", | 159 | "resource_type": "dataset", | ||
160 | "resource_type_general": "dataset", | 160 | "resource_type_general": "dataset", | ||
161 | "resources": [ | 161 | "resources": [ | ||
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