Item talk:Q269506
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Forecasting urban growth across the United States-Mexico border",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70036061",
"url": "https://pubs.usgs.gov/publication/70036061"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70036061
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.compenvurbsys.2008.10.003",
"url": "https://doi.org/10.1016/j.compenvurbsys.2008.10.003"
},
{
"@type": "PropertyValue",
"propertyID": "ISSN",
"value": "01989715"
}
],
"journal": {
"@type": "Periodical",
"name": "Computers, Environment and Urban Systems",
"volumeNumber": "33",
"issueNumber": "2"
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Computers, Environment and Urban Systems"
}
],
"datePublished": "2009",
"dateModified": "2012-03-12",
"abstract": "The sister-city area of Nogales, Arizona, and Nogales, Sonora, Mexico, is known collectively as Ambos (both) Nogales. This area was historically one city and was administratively divided by the Gadsden Purchase in 1853. These arid-lands have limited and sensitive natural resources. Environmental planning can support sustainable development to accommodate the predicted influx of population. The objective of this research is to quantify the amount of predicted urban growth for the Ambos Nogales watershed to support future planning for sustainable development. Two modeling regimes are explored. Our goal is to identify possible growth patterns associated with the twin-city area as a whole and with the two cities modeled as separate entities. We analyzed the cross-border watershed using regression analysis from satellite images from 1975, 1983, 1996, and 2002 and created urban area classifications. We used these classifications as input to the urban growth model, SLEUTH, to simulate likely patterns of development and define projected conversion probabilities. Model results indicate that the two cities are undergoing very different patterns of change and identify locations of expected growth based on historical development. Growth in Nogales, Arizona is stagnant while the urban area in Nogales, Sonora is exploding. This paper demonstrates an application that portrays how future binational urban growth could develop and affect the environment. This research also provides locations of potential growth for use in city planning.",
"publisher": {
"@type": "Organization",
"name": "U.S. Geological Survey"
},
"author": [
{
"@type": "Person",
"name": "Norman, L.M.",
"givenName": "L.M.",
"familyName": "Norman"
},
{
"@type": "Person",
"name": "Phillip, Guertin D.",
"givenName": "Guertin D.",
"familyName": "Phillip"
},
{
"@type": "Person",
"name": "Feller, M.",
"givenName": "M.",
"familyName": "Feller"
}
]
},
"OpenAlex": {
"_id": "https://openalex.org/w2018174032",
"abstract_inverted_index": {
"The": [
0,
54
],
"sister-city": [
1
],
"area": [
2,
18,
97,
130,
188
],
"of": [
3,
52,
56,
64,
148,
167,
172,
217
],
"Nogales,": [
4,
7,
181,
190
],
"Arizona,": [
5
],
"and": [
6,
23,
37,
101,
125,
127,
150,
169,
208
],
"Sonora,": [
8
],
"Mexico,": [
9
],
"is": [
10,
59,
87,
183,
192
],
"known": [
11
],
"collectively": [
12
],
"as": [
13,
98,
107,
136
],
"Ambos": [
14,
70
],
"(both)": [
15
],
"Nogales.": [
16
],
"This": [
17,
194,
212
],
"was": [
19,
24
],
"historically": [
20
],
"one": [
21
],
"city": [
22,
223
],
"administratively": [
25
],
"divided": [
26
],
"by": [
27
],
"the": [
28,
49,
62,
69,
95,
103,
112,
139,
159,
186,
210
],
"Gadsden": [
29
],
"Purchase": [
30
],
"in": [
31,
180,
189,
222
],
"1853.": [
32
],
"These": [
33
],
"arid-lands": [
34
],
"have": [
35
],
"limited": [
36
],
"sensitive": [
38
],
"natural": [
39
],
"resources.": [
40
],
"Environmental": [
41
],
"planning": [
42,
76
],
"can": [
43
],
"support": [
44,
74
],
"sustainable": [
45,
78
],
"development": [
46,
149
],
"to": [
47,
60,
73,
88,
138,
144
],
"accommodate": [
48
],
"predicted": [
50,
65
],
"influx": [
51
],
"population.": [
53
],
"objective": [
55
],
"this": [
57
],
"research": [
58,
213
],
"quantify": [
61
],
"amount": [
63
],
"urban": [
66,
129,
140,
187,
204
],
"growth": [
67,
91,
141,
174,
205,
219
],
"for": [
68,
77,
220
],
"Nogales": [
71
],
"watershed": [
72,
114
],
"future": [
75,
202
],
"development.": [
79,
178
],
"Two": [
80
],
"modeling": [
81
],
"regimes": [
82
],
"are": [
83,
162
],
"explored.": [
84
],
"Our": [
85
],
"goal": [
86
],
"identify": [
89,
170
],
"possible": [
90
],
"patterns": [
92,
147,
166
],
"associated": [
93
],
"with": [
94,
102
],
"twin-city": [
96
],
"a": [
99
],
"whole": [
100
],
"two": [
104,
160
],
"cities": [
105,
161
],
"modeled": [
106
],
"separate": [
108
],
"entities.": [
109
],
"We": [
110,
132
],
"analyzed": [
111
],
"cross-border": [
113
],
"using": [
115
],
"regression": [
116
],
"analysis": [
117
],
"from": [
118,
121
],
"satellite": [
119
],
"images": [
120
],
"1975,": [
122
],
"1983,": [
123
],
"1996,": [
124
],
"2002": [
126
],
"created": [
128
],
"classifications.": [
131
],
"used": [
133
],
"these": [
134
],
"classifications": [
135
],
"input": [
137
],
"model,": [
142
],
"SLEUTH,": [
143
],
"simulate": [
145
],
"likely": [
146
],
"define": [
151
],
"projected": [
152
],
"conversion": [
153
],
"probabilities.": [
154
],
"Model": [
155
],
"results": [
156
],
"indicate": [
157
],
"that": [
158,
199
],
"undergoing": [
163
],
"very": [
164
],
"different": [
165
],
"change": [
168
],
"locations": [
171,
216
],
"expected": [
173
],
"based": [
175
],
"on": [
176
],
"historical": [
177
],
"Growth": [
179
],
"Arizona": [
182
],
"stagnant": [
184
],
"while": [
185
],
"Sonora": [
191
],
"exploding.": [
193
],
"paper": [
195
],
"demonstrates": [
196
],
"an": [
197
],
"application": [
198
],
"portrays": [
200
],
"how": [
201
],
"binational": [
203
],
"could": [
206
],
"develop": [
207
],
"affect": [
209
],
"environment.": [
211
],
"also": [
214
],
"provides": [
215
],
"potential": [
218
],
"use": [
221
],
"planning.": [
224
]
},
"apc_list": {
"value": 3740,
"currency": "USD",
"value_usd": 3740,
"provenance": "doaj"
},
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5054038504",
"display_name": "Laura M. Norman",
"orcid": "https://orcid.org/0000-0002-3696-8406"
},
"institutions": [
{
"id": "https://openalex.org/I114681415",
"display_name": "Arizona Geological Survey",
"ror": "https://ror.org/00vcszp55",
"country_code": "US",
"type": "nonprofit",
"lineage": [
"https://openalex.org/I114681415"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Laura M. Norman",
"raw_affiliation_strings": [
"US Geological Survey, 520 N. Park Ave., Ste #355, Tucson, AZ 85719, United States"
],
"affiliations": [
{
"raw_affiliation_string": "US Geological Survey, 520 N. Park Ave., Ste #355, Tucson, AZ 85719, United States",
"institution_ids": [
"https://openalex.org/I114681415"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5003214216",
"display_name": "Mark Feller",
"orcid": null
},
"institutions": [
{
"id": "https://openalex.org/I2800772125",
"display_name": "Denver Federal Center",
"ror": "https://ror.org/05pxjag90",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1280600231",
"https://openalex.org/I2800772125"
]
},
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Mark Feller",
"raw_affiliation_strings": [
"US Geological Survey, Box 25046, Denver Federal Center Mail Stop 516, Denver, CO 80225-0046, United States"
],
"affiliations": [
{
"raw_affiliation_string": "US Geological Survey, Box 25046, Denver Federal Center Mail Stop 516, Denver, CO 80225-0046, United States",
"institution_ids": [
"https://openalex.org/I2800772125",
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5023643350",
"display_name": "D. Phillip Guertin",
"orcid": "https://orcid.org/0000-0002-1969-5100"
},
"institutions": [
{
"id": "https://openalex.org/I138006243",
"display_name": "University of Arizona",
"ror": "https://ror.org/03m2x1q45",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I138006243"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "D. Phillip Guertin",
"raw_affiliation_strings": [
"University of Arizona, School of Natural Resources, Tucson, AZ, United States"
],
"affiliations": [
{
"raw_affiliation_string": "University of Arizona, School of Natural Resources, Tucson, AZ, United States",
"institution_ids": [
"https://openalex.org/I138006243"
]
}
]
}
],
"best_oa_location": null,
"biblio": {
"volume": "33",
"issue": "2",
"first_page": "150",
"last_page": "159"
},
"citation_normalized_percentile": {
"value": 0.940985,
"is_in_top_1_percent": false,
"is_in_top_10_percent": true
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2018174032",
"cited_by_count": 49,
"cited_by_percentile_year": {
"min": 94,
"max": 95
},
"concepts": [
{
"id": "https://openalex.org/C150547873",
"wikidata": "https://www.wikidata.org/wiki/Q947851",
"display_name": "Watershed",
"level": 2,
"score": 0.64608455
},
{
"id": "https://openalex.org/C552854447",
"wikidata": "https://www.wikidata.org/wiki/Q131201",
"display_name": "Sustainable development",
"level": 2,
"score": 0.58964646
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 0.5830835
},
{
"id": "https://openalex.org/C49545453",
"wikidata": "https://www.wikidata.org/wiki/Q69883",
"display_name": "Urban planning",
"level": 2,
"score": 0.50491005
},
{
"id": "https://openalex.org/C77352025",
"wikidata": "https://www.wikidata.org/wiki/Q386191",
"display_name": "Population growth",
"level": 3,
"score": 0.49376354
},
{
"id": "https://openalex.org/C2908647359",
"wikidata": "https://www.wikidata.org/wiki/Q2625603",
"display_name": "Population",
"level": 2,
"score": 0.42602983
},
{
"id": "https://openalex.org/C29985473",
"wikidata": "https://www.wikidata.org/wiki/Q188460",
"display_name": "Natural resource",
"level": 2,
"score": 0.41153347
},
{
"id": "https://openalex.org/C18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 0.23971644
},
{
"id": "https://openalex.org/C86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 0.11901203
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 0.109956175
},
{
"id": "https://openalex.org/C149923435",
"wikidata": "https://www.wikidata.org/wiki/Q37732",
"display_name": "Demography",
"level": 1,
"score": 0.076183975
},
{
"id": "https://openalex.org/C144024400",
"wikidata": "https://www.wikidata.org/wiki/Q21201",
"display_name": "Sociology",
"level": 0,
"score": 0.072758704
},
{
"id": "https://openalex.org/C119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 0.0
}
],
"corresponding_author_ids": [
"https://openalex.org/A5054038504"
],
"corresponding_institution_ids": [
"https://openalex.org/I114681415"
],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 2
},
{
"year": 2023,
"cited_by_count": 3
},
{
"year": 2022,
"cited_by_count": 5
},
{
"year": 2021,
"cited_by_count": 1
},
{
"year": 2020,
"cited_by_count": 5
},
{
"year": 2019,
"cited_by_count": 4
},
{
"year": 2018,
"cited_by_count": 5
},
{
"year": 2017,
"cited_by_count": 3
},
{
"year": 2016,
"cited_by_count": 2
},
{
"year": 2015,
"cited_by_count": 3
},
{
"year": 2014,
"cited_by_count": 3
},
{
"year": 2013,
"cited_by_count": 4
},
{
"year": 2012,
"cited_by_count": 5
}
],
"created_date": "2016-06-24",
"datasets": [],
"display_name": "Forecasting urban growth across the United States\u2013Mexico border",
"doi": "https://doi.org/10.1016/j.compenvurbsys.2008.10.003",
"fulltext_origin": "ngrams",
"fwci": 1.747,
"grants": [],
"has_fulltext": true,
"id": "https://openalex.org/W2018174032",
"ids": {
"openalex": "https://openalex.org/W2018174032",
"doi": "https://doi.org/10.1016/j.compenvurbsys.2008.10.003",
"mag": "2018174032"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 4,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/urbanization",
"display_name": "Urbanization",
"score": 0.506489
}
],
"language": "en",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.1016/j.compenvurbsys.2008.10.003",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S60115552",
"display_name": "Computers Environment and Urban Systems",
"issn_l": "0198-9715",
"issn": [
"0198-9715",
"1873-7587"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 1,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W2018174032/ngrams",
"open_access": {
"is_oa": false,
"oa_status": "closed",
"oa_url": null,
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": false,
"landing_page_url": "https://doi.org/10.1016/j.compenvurbsys.2008.10.003",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S60115552",
"display_name": "Computers Environment and Urban Systems",
"issn_l": "0198-9715",
"issn": [
"0198-9715",
"1873-7587"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T10226",
"display_name": "Global Analysis of Ecosystem Services and Land Use",
"score": 0.9996,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
"publication_date": "2009-03-01",
"publication_year": 2009,
"referenced_works": [
"https://openalex.org/W1567888424",
"https://openalex.org/W1578368825",
"https://openalex.org/W1580678935",
"https://openalex.org/W1969095625",
"https://openalex.org/W1977438939",
"https://openalex.org/W1979297386",
"https://openalex.org/W1999829841",
"https://openalex.org/W2072643853",
"https://openalex.org/W2075717411",
"https://openalex.org/W2076598343",
"https://openalex.org/W2105536892",
"https://openalex.org/W2108708928",
"https://openalex.org/W2134054833",
"https://openalex.org/W2138358264",
"https://openalex.org/W2165780759",
"https://openalex.org/W2319224732",
"https://openalex.org/W2321311140",
"https://openalex.org/W2411064732",
"https://openalex.org/W2480611592",
"https://openalex.org/W2942558037",
"https://openalex.org/W3128621251",
"https://openalex.org/W3183301599",
"https://openalex.org/W4211189437",
"https://openalex.org/W4234716877",
"https://openalex.org/W93171694"
],
"referenced_works_count": 25,
"related_works": [
"https://openalex.org/W4387955966",
"https://openalex.org/W3154446734",
"https://openalex.org/W2493062119",
"https://openalex.org/W2359982472",
"https://openalex.org/W2144571534",
"https://openalex.org/W214080024",
"https://openalex.org/W1996891278",
"https://openalex.org/W1992288292",
"https://openalex.org/W1980614686",
"https://openalex.org/W1134571055"
],
"sustainable_development_goals": [
{
"display_name": "Sustainable cities and communities",
"id": "https://metadata.un.org/sdg/11",
"score": 0.41
}
],
"title": "Forecasting urban growth across the United States\u2013Mexico border",
"topics": [
{
"id": "https://openalex.org/T10226",
"display_name": "Global Analysis of Ecosystem Services and Land Use",
"score": 0.9996,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10692",
"display_name": "Impact of Urban Green Space on Public Health",
"score": 0.985,
"subfield": {
"id": "https://openalex.org/subfields/2307",
"display_name": "Health, Toxicology and Mutagenesis"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10298",
"display_name": "Influence of Built Environment on Active Travel",
"score": 0.9787,
"subfield": {
"id": "https://openalex.org/subfields/3313",
"display_name": "Transportation"
},
"field": {
"id": "https://openalex.org/fields/33",
"display_name": "Social Sciences"
},
"domain": {
"id": "https://openalex.org/domains/2",
"display_name": "Social Sciences"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-14T02:38:01.715671",
"versions": []
}
}
