2024-03-29T13:19:08Z
https://openjournals.wu.ac.at/ojs/index.php/region/oai
oai:ojs.openjournals.wu.ac.at:article/42
2022-01-26T10:47:44Z
region:RES
Spatial data, analysis, and regression - a mini course
Arribas-Bel, Daniel
Spatial Analysis
course
open-source
This resource contains the materials and structure suggested to run a mini course of approximately 14 hours on spatial data, analysis and regression. The course is structured along four lectures and four labs that require the use of computers.
ERSA
2014-10-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
Exploratory and econometric analysis
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/42
10.18335/region.v1i1.42
REGION; Vol. 1 No. 1 (2014); R1
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/42/6
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/42/35
Copyright (c) 2014 Daniel Arribas-Bel
oai:ojs.openjournals.wu.ac.at:article/70
2022-01-26T10:47:44Z
region:RES
OpenStreetMap, the Wikipedia Map
Maier, Gunther
electronic mapping
GIS
OpenStreetMap
OpenLayers
This paper presents OpenStreetMap and closely related software as a resource for spatial economic research. The paper demonstrates how information can be extracted from OpenStreetMap, how it can be used as a geographical interface in web-based communication, and illustrates the value of the tools by use of a specific application, the WU campus GIS.
ERSA
2014-12-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
text/html
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/70
10.18335/region.v1i1.70
REGION; Vol. 1 No. 1 (2014); R3-R10
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/70/10
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/70/25
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/70/220
Copyright (c) 2014 Gunther Maier
oai:ojs.openjournals.wu.ac.at:article/72
2022-01-26T10:48:02Z
region:RES
Capital stock in Spain and its distribution by territories (1964-2012)
Mas, Matilde
Perez, Francisco
Uriel, Ezequiel
economic database
Since 1995 the BBVA Foundation and the Ivie have been conducting an extensive research program on Spanish economic growth. The regularly-updated database "Capital stock in Spain and its distribution by territories" are the basis of this program, providing information on the accumulation of capital in Spain over the last four decades.
ERSA
2015-02-13
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
Database
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/72
10.18335/region.v2i1.72
REGION; Vol. 2 No. 1 (2015); R1-R2
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/72/14
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/72/33
Copyright (c) 2015 Matilde Mas, Francisco Perez, Ezequiel Uriel
oai:ojs.openjournals.wu.ac.at:article/76
2022-01-26T10:48:02Z
region:RES
Personal Income and its Distribution in Spanish municipalities
Hortas-Rico, Miriam
Onrubia, Jorge
This resource describes a data source for local personal income and its distribution in Spanish municipalities.
ERSA
2015-04-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/76
10.18335/region.v2i1.76
REGION; Vol. 2 No. 1 (2015); R5-R6
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/76/40
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/76/41
Copyright (c) 2015 Miriam Hortas-Rico, Jorge Onrubia
oai:ojs.openjournals.wu.ac.at:article/77
2022-01-26T10:48:02Z
region:RES
Human capital in Spain and its distribution by provinces (1964-2013)
Serrano, Lorenzo
Soler, Ángel
The regularly-updated database "Human capital in Spain and its distribution by provinces" provides information about the accumulation of human capital in Spain over the last five decades. The human capital estimates included in this database contain a wide range of information on how education levels in Spain have evolved, classified according to the level of studies completed and other human capital indicators. The database includes information that has been updated until the second trimester of 2013. It can be accessed at http://www.ivie.es/en/banco/caphum/series.php.
ERSA
2015-04-17
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/77
10.18335/region.v2i1.77
REGION; Vol. 2 No. 1 (2015); R3-R4
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/77/29
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/77/34
Copyright (c) 2015 Lorenzo Serrano, Ángel Soler
oai:ojs.openjournals.wu.ac.at:article/85
2022-01-26T10:48:20Z
region:RES
WooW-II: Workshop on open workflows
Arribas-Bel, Daniel
de Graaff, Thomas
Open Workflows
reproducibility
tools
This resource describes WooW-II, a two-day workshop on open workflows for quantitative social scientists. The workshop is broken down in five main parts, where each of them typically consists of an introductionary tutorial and a hands-on assignment. The specific tools discussed in this workshop are Markdown, Pandoc, Git, Github, R, and Rstudio, but the theoretical approach applies to a wider range of tools (e.g., LATEX and Python). By the end of the workshop, participants should be able to reproduce a paper of their own and make it available in an open form applying the concepts and tools introduced.
ERSA
2015-07-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
NA
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/85
10.18335/region.v2i2.85
REGION; Vol. 2 No. 2 (2015); R1-R2
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/85/58
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/85/63
Copyright (c) 2015 Daniel Arribas-Bel, Thomas de Graaff
oai:ojs.openjournals.wu.ac.at:article/98
2022-01-26T10:48:20Z
region:RES
Making Educational and Scholarly Videos with Screen Capture Software
Burkey, Mark L.
educational resources
screencasting
screen capture
This resource describes several options for making educational videos using “screencasting”, or “screen capture” software. The author (who has over 300 screencasted videos on YouTube and indexed on his website, www.burkeyacademy.com) describes the software and hardware tools needed, including some open source and free-to-use tools. Links to some “how to” videos are included, as well as some links to other example videos demonstrating novel professional uses for screencasting.
ERSA
2015-11-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/98
10.18335/region.v2i2.98
REGION; Vol. 2 No. 2 (2015); R3-R10
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/98/67
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/98/79
Copyright (c) 2015 Mark L. Burkey
oai:ojs.openjournals.wu.ac.at:article/120
2022-01-26T10:48:47Z
region:RES
Towards A Regional Science Academy: A Manifesto
Kourtit, Karima
Nijkamp, Peter
This Manifesto provides a joint proposal to create a Regional Science Academy as a think-tank support platform for a strategic development of the spatial sciences. The Regional Science Academy is a strategic spatial knowledge catalyst: it acts as a global intellectual powerhouse for new knowledge network initiatives and scholarly views on regions and cities as vital centrepieces of interconnected spatial systems. This contribution highlights its role and presents various activity plans.
ERSA
2016-04-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/120
10.18335/region.v3i1.120
REGION; Vol. 3 No. 1 (2016); R1-R16
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/120/82
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/120/81
Copyright (c) 2016 KARIMA KOURTIT, PETER NIJKAMP
oai:ojs.openjournals.wu.ac.at:article/175
2022-01-26T10:49:13Z
region:RES
A primer for working with the Spatial Interaction modeling (SpInt) module in the python spatial analysis library (PySAL)
Oshan, Taylor M
This primer provides a practical guide to get started with spatial interaction modeling using the SpInt module in the python spatial analysis library (PySAL).
ERSA
2016-12-06
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/175
10.18335/region.v3i2.175
REGION; Vol. 3 No. 2 (2016); R11-R23
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/175/122
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/175/189
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/175/124
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/175/190
Copyright (c) 2016 Taylor M Oshan
oai:ojs.openjournals.wu.ac.at:article/176
2022-01-26T10:49:13Z
region:RES
LaTeX - Know what you are missing
Maier, Gunther
LaTeX
Basic Information
This article gives a brief introduction to \LaTeX\ and related tools. The aim is to give an overview, to demonstrate the flexibility and versatility of the software, and to assist the reader taking first steps using it. The article links to a number of valuable resources for further information.
ERSA
2016-11-15
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
application/zip
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/176
10.18335/region.v3i2.176
REGION; Vol. 3 No. 2 (2016); R1-R9
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/176/117
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/176/120
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/176/224
Copyright (c) 2016 Gunther Maier
oai:ojs.openjournals.wu.ac.at:article/198
2022-01-26T10:50:22Z
region:RES
The CHilean Internal Migration (CHIM) database: Temporally consistent spatial data for the analysis of human mobility
Rowe, Francisco
Migration
Data
Census
Chile
Changes in zonal boundaries and coding schemes severely compromise temporal comparison of data. In Chile, the Population and Housing census is the only comprehensive source of internal migration data, but municipal boundaries and occupation and industry sector coding schemes have undergone various changes which hamper the temporal comparability of census data. This paper presents the CHilean Internal Migration database developed by Rowe and Bell (2013) which provides a temporally consistent framework for the analysis of internal migration over a period covering twenty-five years from 1977 to 2002. Specifically, it offers a hierarchical system of 304 municipalities, 51 provinces and 13 regions, and 10 occupational groups and 11 industrial sectors which are temporally consistent over the 1977-82, 1987-92 and 1997-2002 census intervals. The database can be downloaded from: https://s3.amazonaws.com/geoda/data/CHIM.zip.
ERSA
2017-08-08
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
Temporal Analysis
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/198
10.18335/region.v4i3.198
REGION; Vol. 4 No. 3 (2017); R1-R6
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/198/184
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/198/185
Copyright (c) 2017 Francisco Rowe
oai:ojs.openjournals.wu.ac.at:article/199
2022-01-26T10:50:22Z
region:RES
Functional Labour Market Areas for Chile
Rowe, Francisco
Casado-Díaz, José Manuel
Martínez-Bernabéu, Lucas
Spatial labour markets
Labour
Evolutionary
Administrative areas are arbitrarily designed and do not necessarily reflect the geographical patterns of socio-economic and labour market activity. Labour market areas (LMAs) are required to analyse spatial labour market activity and provide a framework to guide spatially-explicit employment policy development. This resource describes a data source of a set of recently created labour market areas for Chile.
ERSA
2017-08-08
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
Regionalisation approach
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/199
10.18335/region.v4i3.199
REGION; Vol. 4 No. 3 (2017); R7-R9
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/199/183
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/199/186
Copyright (c) 2017 Francisco Rowe
oai:ojs.openjournals.wu.ac.at:article/243
2022-01-26T10:51:27Z
region:RES
Social Progress for Resilient Regions: Speech of the EIB Vice President Pim van Ballekom - ERSA Congress 2017
van Ballekom, Pim
This paper is the base text for the speech of the EIB Vice President Mr. Pim van Ballekom on the ERSA Congress in Groningen, on August 2017. This text which represents his and the Bank’s views on the topic “Social Progress for Resilient Regions”. Although in his speech he deviated from the prepared speech to react on topics raised by the other speakers, this text and its contents remain valid.
ERSA
2018-10-09
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/243
10.18335/region.v5i3.243
REGION; Vol. 5 No. 3 (2018); R1-R4
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/243/256
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/243/257
Copyright (c) 2018 Pim van Ballekom
oai:ojs.openjournals.wu.ac.at:article/251
2022-01-26T10:51:27Z
region:RES
The US Census Longitudinal Employer-Household Dynamics Datasets
Manduca, Robert
Over the last several years, the Longitudinal Employer-Household Dynamics program at the US Census Bureau has partnered with state labor market information offices to produce a collection of extremely rich datasets based on linked employer-employee records. These datasets, available free for download from the program website, offer exceptionally detailed information on a number of topics of interest to regional scientists, including migration, local labor market dynamics, and the spatial distribution of employment. This article describes the process by which these data are generated, the different publicly available datasets, and examples of research in regional science that is already using these data.
ERSA
2018-11-02
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/251
10.18335/region.v5i3.251
REGION; Vol. 5 No. 3 (2018); R5-R12
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/251/260
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/251/283
Copyright (c) 2018 Robert Manduca
oai:ojs.openjournals.wu.ac.at:article/254
2022-01-26T10:51:27Z
region:RES
Spatial Econometrics and GIS YouTube Playlist
Burkey, Mark L.
This resource describes a website and playlist of YouTube videos using open source software (R, GeoDa, and QGIS) designed to help get scholars up and running with analyzing their own data. In the series sample data, handouts, code, and map files are provided. The course covers the basics of integrating data into a spatial data set, contiguity and spatial correlation, doing basic spatial regressions in GeoDa, and doing more sophisticated specification tests and regressions in R.
ERSA
2018-11-02
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/254
10.18335/region.v5i3.254
REGION; Vol. 5 No. 3 (2018); R13-R18
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/254/261
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/254/284
Copyright (c) 2018 Mark L. Burkey
oai:ojs.openjournals.wu.ac.at:article/326
2022-01-26T10:53:27Z
region:RES
A classification for English primary schools using open data
Clark, Stephen
Lomax, Nik
Birkin, Mark
England has statutory regulations in place that ensure state funded schools deliver broadly the same curriculum. However there still exists a wide range of contexts in which this education takes place, including: the management of schools; how the schools chose to spend their budgets; individual policies in regards to staffing, behaviour and attendance, and perhaps most importantly, the composition of the pupil population in the school. Given these contexts, one outcome of interest is the attainment profile of schools, and it is important that this performance is judged in context, for the benefits of pupils, parents and schools. To this end, this study develops a classification using contemporary data for English primary schools. The open data used captures aspects of the gender, ethnic, language, staffing and affluence makeup of each school. The nature of these derived groupings is described and made available as a mapping resource. These groupings allow the identification of “families of schools”, to act as a resource to foster better collaboration between schools and more nuanced benchmarking.
ERSA
2020-09-17
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
application/pdf
text/plain
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/326
10.18335/region.v7i2.326
REGION; Vol. 7 No. 2 (2020); R1-R13
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/326/343
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/326/344
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/326/345
Copyright (c) 2020 Stephen Clark, Nik Lomax, Mark Birkin
oai:ojs.openjournals.wu.ac.at:article/432
2022-07-06T06:32:49Z
region:RES
Labour Market Areas and cluster subdivision for Spain 2011
Martínez-Bernabéu, Lucas
Casado-Díaz, José Manuel
Labour market areas (LMAs) are a type of functional areas that provides the appropriate framework for spatially-explicit analyses of the labour market to guide policymaking in this field. This resource presents a data base with the most recent definition of LMAs for Spain using a state-of-the-art methodology. All defined LMAs are highly self-contained in terms of travel-to-work flows and exceed a minimum size compatible with the usual requirements in terms of confidentiality and representativeness, allowing the recoding of microdata geographic referencing and therefore a much greater granularity compared to what is usual for this type of data. It can be downloaded from https://rua.ua.es/dspace/handle/10045/121236.
ERSA
2022-06-28
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/432
10.18335/region.v9i1.432
REGION; Vol. 9 No. 1 (2022); R1-R6
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/432/417
Copyright (c) 2022 Lucas Martínez-Bernabéu, José Manuel Casado-Díaz
https://creativecommons.org/licenses/by/4.0
oai:ojs.openjournals.wu.ac.at:article/450
2022-09-08T20:34:28Z
region:RES
An introduction to pspatreg: A new R package for semiparametric spatial autoregressive analysis
Mínguez, Román
Basile, Roberto
Durbán, María
This article introduces a new R package (pspatreg) for the estimation of semiparametric spatial autoregressive models. pspatreg fits penalized spline semiparametric spatial autoregressive models via Restricted Maximum Likelihood or Maximum Likelihood. These models are very flexible since they make it possible to simultaneously control for spatial dependence, nonlinearities in the functional form, and spatio-temporal heterogeneity. The package also allows to estimate parametric spatial autoregressive models for both cross sectional and panel data (with fixed effects), thus avoiding the use of different libraries. The official demos, vignettes, and tutorials of the package are distributed either in CRAN or GitHub. This article illustrates the potential of the package by using an application to cross-sectional data.
ERSA
2022-12-07
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Resources Review
application/pdf
text/html
application/zip
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/450
10.18335/region.v9i2.450
REGION; Vol. 9 No. 2 (2022); R1-R15
2409-5370
eng
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/450/429
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/450/441
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/450/442
Copyright (c) 2022 Román Mínguez, Roberto Basile, María Durbán
https://creativecommons.org/licenses/by/4.0