{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Incorporating GIS building data and census housing statistics for sub-block-level population estimation",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70033624",
"url": "https://pubs.usgs.gov/publication/70033624"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70033624
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1080/00330120701724251",
"url": "https://doi.org/10.1080/00330120701724251"
},
{
"@type": "PropertyValue",
"propertyID": "ISSN",
"value": "00330124"
}
],
"journal": {
"@type": "Periodical",
"name": "Professional Geographer",
"volumeNumber": "60",
"issueNumber": "1"
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Professional Geographer"
}
],
"datePublished": "2008",
"dateModified": "2012-03-12",
"abstract": "This article presents a deterministic model for sub-block-level population estimation based on the total building volumes derived from geographic information system (GIS) building data and three census block-level housing statistics. To assess the model, we generated artificial blocks by aggregating census block areas and calculating the respective housing statistics. We then applied the model to estimate populations for sub-artificial-block areas and assessed the estimates with census populations of the areas. Our analyses indicate that the average percent error of population estimation for sub-artificial-block areas is comparable to those for sub-census-block areas of the same size relative to associated blocks. The smaller the sub-block-level areas, the higher the population estimation errors. For example, the average percent error for residential areas is approximately 0.11 percent for 100 percent block areas and 35 percent for 5 percent block areas.",
"publisher": {
"@type": "Organization",
"name": "U.S. Geological Survey"
},
"author": [
{
"@type": "Person",
"name": "Wu, S.-S.",
"givenName": "S.-S.",
"familyName": "Wu"
},
{
"@type": "Person",
"name": "Qiu, X.",
"givenName": "X.",
"familyName": "Qiu"
},
{
"@type": "Person",
"name": "Wang, L.",
"givenName": "L.",
"familyName": "Wang"
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"Abstract": [
0
],
"This": [
1
],
"article": [
2
],
"presents": [
3
],
"a": [
4,
151,
181,
276
],
"deterministic": [
5
],
"model": [
6,
54
],
"for": [
7,
58,
82,
89,
117,
124,
132
],
"sub-block-level": [
8,
103
],
"population": [
9,
80,
108
],
"estimation": [
10,
81,
109
],
"based": [
11
],
"on": [
12
],
"the": [
13,
33,
46,
53,
63,
69,
75,
93,
102,
105,
107,
113
],
"total": [
14
],
"building": [
15,
23
],
"volumes": [
16
],
"derived": [
17
],
"from": [
18
],
"geographic": [
19
],
"information": [
20
],
"system": [
21
],
"(GIS)": [
22
],
"data": [
24
],
"and": [
25,
44,
61,
129
],
"three": [
26
],
"census": [
27,
41,
66
],
"block-level": [
28
],
"housing": [
29,
48
],
"statistics.": [
30,
49
],
"To": [
31
],
"assess": [
32
],
"model,": [
34
],
"we": [
35
],
"generated": [
36
],
"artificial": [
37
],
"blocks": [
38
],
"by": [
39
],
"aggregating": [
40
],
"block": [
42,
127,
135,
331
],
"areas": [
43,
60,
84,
91,
119,
128
],
"calculating": [
45
],
"respective": [
47
],
"We": [
50
],
"then": [
51
],
"applied": [
52
],
"to": [
55,
87,
97
],
"estimate": [
56
],
"populations": [
57,
67
],
"sub-artificial-block": [
59,
83
],
"assessed": [
62
],
"estimates": [
64
],
"with": [
65
],
"of": [
68,
79,
92
],
"areas.": [
70,
136
],
"Our": [
71
],
"analyses": [
72
],
"indicate": [
73
],
"that": [
74
],
"average": [
76,
114
],
"percent": [
77,
115,
123,
126,
131,
134
],
"error": [
78,
116,
239,
297
],
"is": [
85,
120
],
"comparable": [
86,
251
],
"those": [
88
],
"sub-census-block": [
90
],
"same": [
94
],
"size": [
95
],
"relative": [
96
],
"associated": [
98
],
"blocks.": [
99
],
"The": [
100
],
"smaller": [
101
],
"areas,": [
104
],
"higher": [
106
],
"errors.": [
110
],
"For": [
111
],
"example,": [
112
],
"residential": [
118
],
"approximately": [
121
],
"0.11": [
122,
304
],
"100": [
125,
312
],
"35": [
130,
318
],
"5": [
133
],
"En": [
137
],
"este": [
138
],
"art\u00edculo": [
139
],
"se": [
140
],
"presenta": [
141
],
"un": [
142,
169,
317
],
"modelo": [
143,
207
],
"determinista": [
144
],
"para": [
145,
208
],
"el": [
146,
187,
206,
235,
253,
286,
293
],
"c\u00e1lculo": [
147,
241,
287
],
"de": [
148,
153,
161,
164,
168,
171,
183,
194,
202,
212,
215,
226,
238,
242,
247,
254,
257,
278,
288,
296,
302,
311,
316,
325,
342,
345
],
"la": [
149,
243,
289,
343,
346
],
"poblaci\u00f3n": [
150,
244,
338
],
"nivel": [
152,
182,
277
],
"sub-bloque,": [
154,
279
],
"con": [
155,
223,
252,
266,
309,
323
],
"base": [
156
],
"en": [
157,
245,
264,
285,
298,
307,
321,
339
],
"los": [
158,
216,
221,
283
],
"vol\u00famenes": [
159
],
"totales": [
160
],
"edificaciones": [
162
],
"derivados": [
163
],
"datos": [
165
],
"sobre": [
166,
179
],
"construcci\u00f3n": [
167
],
"sistema": [
170
],
"informaci\u00f3n": [
172
],
"geogr\u00e1fica": [
173
],
"(SIG)": [
174
],
"y": [
175,
197,
219,
315
],
"tres": [
176
],
"estad\u00edsticas": [
177,
201
],
"censales": [
178,
196
],
"vivienda": [
180
],
"bloque.": [
184
],
"Para": [
185
],
"evaluar": [
186
],
"modelo,": [
188
],
"generamos": [
189
],
"bloques": [
190,
195,
268,
324
],
"artificiales": [
191,
218,
249
],
"uniendo": [
192
],
"\u00e1reas": [
193,
214,
228,
246,
256,
275,
299,
308,
322
],
"calculando": [
198
],
"las": [
199,
210,
213,
224,
227,
255,
267,
274
],
"respectivas": [
200
],
"vivienda.": [
203
],
"Entonces": [
204
],
"aplicamos": [
205
],
"calcular": [
209
],
"poblaciones": [
211,
225
],
"sub-bloques": [
217,
248,
258
],
"evaluamos": [
220
],
"c\u00e1lculos": [
222
],
"del": [
229,
240,
259,
261
],
"censo.": [
230
],
"Nuestros": [
231
],
"an\u00e1lisis": [
232
],
"indican": [
233
],
"que": [
234
],
"porcentaje": [
236,
294
],
"medio": [
237,
295
],
"es": [
250,
301
],
"censo": [
260
],
"mismo": [
262
],
"tama\u00f1o": [
263
],
"relaci\u00f3n": [
265
],
"asociados.": [
269
],
"Cuanto": [
270
],
"m\u00e1s": [
271,
280
],
"peque\u00f1as": [
272
],
"sean": [
273
],
"grandes": [
281
],
"ser\u00e1n": [
282
],
"errores": [
284
],
"poblaci\u00f3n.": [
290
],
"Por": [
291
],
"ejemplo,": [
292
],
"residenciales": [
300
],
"aproximadamente": [
303
],
"por": [
305,
313,
319,
327
],
"ciento": [
306,
320
],
"manzanas": [
310
],
"ciento,": [
314
],
"cinco": [
326
],
"ciento.": [
328
],
"Key": [
329
],
"Words:": [
330
],
"populationdasymetric": [
332
],
"mappingpopulation": [
333
],
"estimationpopulation": [
334
],
"interpolationsub-block\u5173\u952e\u8bcd:": [
335
],
"\u4eba\u53e3\u677f\u5757\u5206\u533a\u5bc6\u5ea6\u5236\u56fe\u4eba\u53e3\u4f30\u7b97\u4eba\u53e3\u63d2\u503c\u5206\u677f\u5757Palabras": [
336
],
"clave:": [
337
],
"bloquemapeo": [
340
],
"dasim\u00e9tricoc\u00e1lculo": [
341
],
"poblaci\u00f3ninterpolaci\u00f3n": [
344
],
"poblaci\u00f3nsub-bloque": [
347
]
},
"apc_list": null,
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5026122211",
"display_name": "Shuo-sheng Wu",
"orcid": "https://orcid.org/0000-0001-9055-6405"
},
"institutions": [
{
"id": "https://openalex.org/I13511017",
"display_name": "Texas State University",
"ror": "https://ror.org/05h9q1g27",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I13511017"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Shuo-sheng Wu",
"raw_affiliation_strings": [
"Texas State University\u2014San Marcos and U.S. Geological Survey ,"
],
"affiliations": [
{
"raw_affiliation_string": "Texas State University\u2014San Marcos and U.S. Geological Survey ,",
"institution_ids": [
"https://openalex.org/I13511017"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5020842665",
"display_name": "Le Wang",
"orcid": "https://orcid.org/0000-0002-0314-0469"
},
"institutions": [
{
"id": "https://openalex.org/I63190737",
"display_name": "University at Buffalo, State University of New York",
"ror": "https://ror.org/01y64my43",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I63190737"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Le Wang",
"raw_affiliation_strings": [
"University of Buffalo - State University of New York"
],
"affiliations": [
{
"raw_affiliation_string": "University of Buffalo - State University of New York",
"institution_ids": [
"https://openalex.org/I63190737"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5067277502",
"display_name": "Xiaomin Qiu",
"orcid": null
},
"institutions": [
{
"id": "https://openalex.org/I119942284",
"display_name": "Missouri State University",
"ror": "https://ror.org/01d2sez20",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I119942284"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Xiaomin Qiu",
"raw_affiliation_strings": [
"Missouri State University"
],
"affiliations": [
{
"raw_affiliation_string": "Missouri State University",
"institution_ids": [
"https://openalex.org/I119942284"
]
}
]
}
],
"best_oa_location": null,
"biblio": {
"volume": "60",
"issue": "1",
"first_page": "121",
"last_page": "135"
},
"citation_normalized_percentile": {
"value": 0.860178,
"is_in_top_1_percent": false,
"is_in_top_10_percent": false
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2084079845",
"cited_by_count": 57,
"cited_by_percentile_year": {
"min": 95,
"max": 96
},
"concepts": [
{
"id": "https://openalex.org/C52130261",
"wikidata": "https://www.wikidata.org/wiki/Q39825",
"display_name": "Census",
"level": 3,
"score": 0.7583562
},
{
"id": "https://openalex.org/C2777210771",
"wikidata": "https://www.wikidata.org/wiki/Q4927124",
"display_name": "Block (permutation group theory)",
"level": 2,
"score": 0.6607327
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 0.6566903
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 0.53789556
},
{
"id": "https://openalex.org/C96250715",
"wikidata": "https://www.wikidata.org/wiki/Q965330",
"display_name": "Estimation",
"level": 2,
"score": 0.49993777
},
{
"id": "https://openalex.org/C2908647359",
"wikidata": "https://www.wikidata.org/wiki/Q2625603",
"display_name": "Population",
"level": 2,
"score": 0.4980688
},
{
"id": "https://openalex.org/C58640448",
"wikidata": "https://www.wikidata.org/wiki/Q42515",
"display_name": "Cartography",
"level": 1,
"score": 0.49447656
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 0.24196327
},
{
"id": "https://openalex.org/C149923435",
"wikidata": "https://www.wikidata.org/wiki/Q37732",
"display_name": "Demography",
"level": 1,
"score": 0.1894401
},
{
"id": "https://openalex.org/C114614502",
"wikidata": "https://www.wikidata.org/wiki/Q76592",
"display_name": "Combinatorics",
"level": 1,
"score": 0.09778872
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 0.074658096
},
{
"id": "https://openalex.org/C144024400",
"wikidata": "https://www.wikidata.org/wiki/Q21201",
"display_name": "Sociology",
"level": 0,
"score": 0.050434083
},
{
"id": "https://openalex.org/C201995342",
"wikidata": "https://www.wikidata.org/wiki/Q682496",
"display_name": "Systems engineering",
"level": 1,
"score": 0.0
}
],
"corresponding_author_ids": [],
"corresponding_institution_ids": [],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2023,
"cited_by_count": 2
},
{
"year": 2022,
"cited_by_count": 1
},
{
"year": 2021,
"cited_by_count": 4
},
{
"year": 2019,
"cited_by_count": 5
},
{
"year": 2018,
"cited_by_count": 3
},
{
"year": 2017,
"cited_by_count": 7
},
{
"year": 2016,
"cited_by_count": 7
},
{
"year": 2015,
"cited_by_count": 5
},
{
"year": 2014,
"cited_by_count": 5
},
{
"year": 2013,
"cited_by_count": 2
},
{
"year": 2012,
"cited_by_count": 4
}
],
"created_date": "2016-06-24",
"datasets": [],
"display_name": "Incorporating GIS Building Data and Census Housing Statistics for Sub-Block-Level Population Estimation",
"doi": "https://doi.org/10.1080/00330120701724251",
"fulltext_origin": "ngrams",
"fwci": 2.252,
"grants": [],
"has_fulltext": true,
"id": "https://openalex.org/W2084079845",
"ids": {
"openalex": "https://openalex.org/W2084079845",
"doi": "https://doi.org/10.1080/00330120701724251",
"mag": "2084079845"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 3,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/population-mapping",
"display_name": "Population Mapping",
"score": 0.556645
},
{
"id": "https://openalex.org/keywords/social-sensing",
"display_name": "Social Sensing",
"score": 0.519236
},
{
"id": "https://openalex.org/keywords/urban-analysis",
"display_name": "Urban Analysis",
"score": 0.517524
},
{
"id": "https://openalex.org/keywords/location-based-data",
"display_name": "Location-Based Data",
"score": 0.516753
}
],
"language": "es",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.1080/00330120701724251",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S67739838",
"display_name": "The Professional Geographer",
"issn_l": "0033-0124",
"issn": [
"0033-0124",
"1467-9272"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310319847",
"host_organization_name": "Routledge",
"host_organization_lineage": [
"https://openalex.org/P4310319847"
],
"host_organization_lineage_names": [
"Routledge"
],
"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/W2084079845/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/10.1080/00330120701724251",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S67739838",
"display_name": "The Professional Geographer",
"issn_l": "0033-0124",
"issn": [
"0033-0124",
"1467-9272"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310319847",
"host_organization_name": "Routledge",
"host_organization_lineage": [
"https://openalex.org/P4310319847"
],
"host_organization_lineage_names": [
"Routledge"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T11963",
"display_name": "Impact of Nighttime Light Data on Various Fields",
"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": "2008-01-01",
"publication_year": 2008,
"referenced_works": [
"https://openalex.org/W1516568075",
"https://openalex.org/W1541771177",
"https://openalex.org/W1543116876",
"https://openalex.org/W181107242",
"https://openalex.org/W1965923481",
"https://openalex.org/W1970562816",
"https://openalex.org/W1973465224",
"https://openalex.org/W1974911233",
"https://openalex.org/W1976379828",
"https://openalex.org/W1981966150",
"https://openalex.org/W1985725498",
"https://openalex.org/W2003393310",
"https://openalex.org/W2007931991",
"https://openalex.org/W2009873539",
"https://openalex.org/W2010690661",
"https://openalex.org/W2012994032",
"https://openalex.org/W2016956963",
"https://openalex.org/W2018515094",
"https://openalex.org/W2024730205",
"https://openalex.org/W2027380308",
"https://openalex.org/W2053697364",
"https://openalex.org/W2065438578",
"https://openalex.org/W2082547933",
"https://openalex.org/W2093061622",
"https://openalex.org/W2134345313",
"https://openalex.org/W2147586658",
"https://openalex.org/W2148868685",
"https://openalex.org/W2155695582",
"https://openalex.org/W2161731329",
"https://openalex.org/W2233424851",
"https://openalex.org/W2325267543",
"https://openalex.org/W2334059378",
"https://openalex.org/W2787728986",
"https://openalex.org/W2939248049",
"https://openalex.org/W3117468118",
"https://openalex.org/W4249759452",
"https://openalex.org/W636509859",
"https://openalex.org/W63972811",
"https://openalex.org/W98796014"
],
"referenced_works_count": 39,
"related_works": [
"https://openalex.org/W621243299",
"https://openalex.org/W5594354",
"https://openalex.org/W4244351752",
"https://openalex.org/W2601163983",
"https://openalex.org/W2364090708",
"https://openalex.org/W2182026161",
"https://openalex.org/W2145323372",
"https://openalex.org/W2128472366",
"https://openalex.org/W2009948611",
"https://openalex.org/W1512152715"
],
"sustainable_development_goals": [
{
"score": 0.78,
"id": "https://metadata.un.org/sdg/11",
"display_name": "Sustainable cities and communities"
}
],
"title": "Incorporating GIS Building Data and Census Housing Statistics for Sub-Block-Level Population Estimation",
"topics": [
{
"id": "https://openalex.org/T11963",
"display_name": "Impact of Nighttime Light Data on Various Fields",
"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/T11980",
"display_name": "Understanding Human Mobility Patterns",
"score": 0.9771,
"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"
}
},
{
"id": "https://openalex.org/T10226",
"display_name": "Global Analysis of Ecosystem Services and Land Use",
"score": 0.9751,
"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"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-15T11:22:19.844859",
"versions": []
}
}