Changes

              
    

          
          
        
        

            
f
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{
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{
            
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  "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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  "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"publication\"], \"email\": 
4
\"validation\", \"curation\", \"publication\"], \"email\": 
            
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\"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\", 
            
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\"name\": \"Inostroza\"}, {\"affiliation\": \"WSL\", 
11
\"name\": \"Inostroza\"}, {\"affiliation\": \"WSL\", 
            
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\"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\", 
            
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\"name\": \"Hersperger\"}]",
15
\"name\": \"Hersperger\"}]",
            
16
  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "4fb1f029-b595-4bac-93e3-1fd94d2c5fc6",
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  "creator_user_id": "4fb1f029-b595-4bac-93e3-1fd94d2c5fc6",
            
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  "date": "[{\"date\": \"2019-09-01\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2019-09-01\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2020-12-01\"}]",
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\"end_date\": \"2020-12-01\"}]",
            
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  "doi": "10.16904/envidat.268",
20
  "doi": "10.16904/envidat.268",
            
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  "funding": "[{\"grant_number\": \"2019.0155\", \"institution\": 
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  "funding": "[{\"grant_number\": \"2019.0155\", \"institution\": 
            
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\"Swiss Government Excellence Scholarships for Foreign Scholars\", 
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\"Swiss Government Excellence Scholarships for Foreign Scholars\", 
            
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\"institution_url\": 
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\"institution_url\": 
            
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olarships-and-grants/swiss-government-excellence-scholarships.html\"}, 
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olarships-and-grants/swiss-government-excellence-scholarships.html\"}, 
            
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{\"grant_number\": \"BSCGIO 157789\", \"institution\": \"Swiss 
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{\"grant_number\": \"BSCGIO 157789\", \"institution\": \"Swiss 
            
26
National Science Foundation\", \"institution_url\": 
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National Science Foundation\", \"institution_url\": 
            
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\"https://www.snf.ch/\"}]",
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\"https://www.snf.ch/\"}]",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "cdbd343b-fe3b-4404-a9ed-6a2516ec4610",
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  "id": "cdbd343b-fe3b-4404-a9ed-6a2516ec4610",
            
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  "isopen": true,
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  "isopen": true,
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "CC0-1.0",
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  "license_id": "CC0-1.0",
            
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  "license_title": "Creative Commons Zero - No Rights Reserved (CC0 
33
  "license_title": "Creative Commons Zero - No Rights Reserved (CC0 
            
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1.0)",
34
1.0)",
            
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  "license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
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  "license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
            
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  "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\", 
            
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\"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,
            
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  "metadata_created": "2022-01-06T14:25:44.285571",
40
  "metadata_created": "2022-01-06T14:25:44.285571",
            
n
41
  "metadata_modified": "2022-01-06T16:23:33.150167",
n
41
  "metadata_modified": "2022-01-06T17:06:26.503968",
            
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 
            
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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 
            
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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 
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after implementation in terms of urban compactness, basic services and 
            
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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 
            
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spatial plans, we acquired the zones limits from the S\u00e3o Paulo 
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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 
            
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municipality.\r\n\r\n1)\tLand use and cover data: Urban persistence, 
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municipality.\r\n\r\n1)\tLand use and cover data: Urban persistence, 
            
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Urban axial, Urban infill, Urban Isolates, Forest cover persistence, 
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Urban axial, Urban infill, Urban Isolates, Forest cover persistence, 
            
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Forest cover gain, NDVI increase\r\n\r\nWe acquired two Landsat 
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Forest cover gain, NDVI increase\r\n\r\nWe acquired two Landsat 
            
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Collection 1 Higher-Level Surface Reflectance images distributed by 
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Collection 1 Higher-Level Surface Reflectance images distributed by 
            
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the U.S. Geological Survey (USGS), covering the entire study area 
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the U.S. Geological Survey (USGS), covering the entire study area 
            
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(paths 76 and 77, row 220, WRS-2 reference system, 
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(paths 76 and 77, row 220, WRS-2 reference system, 
            
68
https://earthexplorer.usgs.gov/). We classified one image acquired by 
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https://earthexplorer.usgs.gov/). We classified one image acquired by 
            
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the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one 
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the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one 
            
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image from the Landsat 8 Operational Land Imager (OLI) sensor from 
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image from the Landsat 8 Operational Land Imager (OLI) sensor from 
            
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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 
            
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built-up cover and 100 samples for other classes. We then classified 
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built-up cover and 100 samples for other classes. We then classified 
            
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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 
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Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using 
            
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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 
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them together in pairs (10*LULC2015 + LULC2005). We reclassified the 
            
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LULC data into forest gain (conversion of any 2005 LULC to forest 
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LULC data into forest gain (conversion of any 2005 LULC to forest 
            
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cover in 2015); forest persistence (2005 forested pixels that remained 
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cover in 2015); forest persistence (2005 forested pixels that remained 
            
80
forested in 2015); new built-up area (conversion of any 2005 LULC to 
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forested in 2015); new built-up area (conversion of any 2005 LULC to 
            
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built-up in 2015); and urban maintenance (2005 built-up pixels that 
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built-up in 2015); and urban maintenance (2005 built-up pixels that 
            
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remained built-up in 2015).\r\n\r\nTo describe the spatial 
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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. 
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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 
            
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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 
            
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and 2015, and we calculated the changes between dates. We used 
89
and 2015, and we calculated the changes between dates. We used 
            
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increases of > 0.2 NDVI to represent an improvement in forest 
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increases of > 0.2 NDVI to represent an improvement in forest 
            
91
quality.\r\n\r\n2)\tFederal Census data organization: Urban Basic 
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quality.\r\n\r\n2)\tFederal Census data organization: Urban Basic 
            
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Services and Housing indicator, socioeconomic and 
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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 
            
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provision, socioeconomic and population drivers was derived from the 
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provision, socioeconomic and population drivers was derived from the 
            
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Brazilian National Census data (IBGE, 2000 and 2010). Population 
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Brazilian National Census data (IBGE, 2000 and 2010). Population 
            
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density, permanent housing unit density, mean income, basic education, 
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density, permanent housing unit density, mean income, basic education, 
            
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and the percentage of houses receiving waste collection, sanitation 
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and the percentage of houses receiving waste collection, sanitation 
            
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and water provision services, called basic services in the context of 
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and water provision services, called basic services in the context of 
            
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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 
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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 
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Material I at the original publication).\r\n\r\n3)\tTopographic 
            
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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 
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the slope data and the Topographic Index Position (TPI) based on the 
            
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digital elevation model from SRTM (30 m resolution) produced by ALOS 
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digital elevation model from SRTM (30 m resolution) produced by ALOS 
            
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(freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and 
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(freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and 
            
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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 
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patterns and processes and their changes over time. We focus on 
            
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cultural landscapes and their multifunctionality while conducting 
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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 
            
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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- 
            
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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,
            
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    "name": "land-use-systems",
139
    "name": "land-use-systems",
            
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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: 
            
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an assessment of urban planning and nature conservation efficiency. 
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Land Use Policy, 111, 105771 
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