Example of Journal of Geographical Systems format
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Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format
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Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format Example of Journal of Geographical Systems format
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open access Open Access

Journal of Geographical Systems — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Geography, Planning and Development #225 of 704 down down by 63 ranks
Economics and Econometrics #240 of 661 down down by None rank
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 78 Published Papers | 190 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/06/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.028

27% from 2018

Impact factor for Journal of Geographical Systems from 2016 - 2019
Year Value
2019 1.028
2018 1.417
2017 1.324
2016 1.314
graph view Graph view
table view Table view

2.4

8% from 2019

CiteRatio for Journal of Geographical Systems from 2016 - 2020
Year Value
2020 2.4
2019 2.6
2018 2.3
2017 2.4
2016 2.5
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 27% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.507

3% from 2019

SJR for Journal of Geographical Systems from 2016 - 2020
Year Value
2020 0.507
2019 0.494
2018 0.525
2017 0.589
2016 0.751
graph view Graph view
table view Table view

0.938

28% from 2019

SNIP for Journal of Geographical Systems from 2016 - 2020
Year Value
2020 0.938
2019 1.305
2018 0.967
2017 1.199
2016 1.335
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 28% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Geographical Systems

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Springer

Journal of Geographical Systems

Journal of Geographical Systems, a journal dedicated to geographical information, analysis, theory, and decision, aims to encourage and promote high quality scholarship on important theoretical and practical issues in regional science, geography, the environmental sciences, an...... Read More

Geography, Planning and Development

Earth-Surface Processes

Social Sciences

i
Last updated on
15 Jun 2020
i
ISSN
1435-5930
i
Impact Factor
High - 1.22
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1007/S10109-005-0155-6
Multicollinearity and correlation among local regression coefficients in geographically weighted regression
David C. Wheeler1, Michael Tiefelsdorf2

Abstract:

Present methodological research on geographically weighted regression (GWR) focuses primarily on extensions of the basic GWR model, while ignoring well-established diagnostics tests commonly used in standard global regression analysis. This paper investigates multicollinearity issues surrounding the local GWR coefficients at ... Present methodological research on geographically weighted regression (GWR) focuses primarily on extensions of the basic GWR model, while ignoring well-established diagnostics tests commonly used in standard global regression analysis. This paper investigates multicollinearity issues surrounding the local GWR coefficients at a single location and the overall correlation between GWR coefficients associated with two different exogenous variables. Results indicate that the local regression coefficients are potentially collinear even if the underlying exogenous variables in the data generating process are uncorrelated. Based on these findings, applied GWR research should practice caution in substantively interpreting the spatial patterns of local GWR coefficients. An empirical disease-mapping example is used to motivate the GWR multicollinearity problem. Controlled experiments are performed to systematically explore coefficient dependency issues in GWR. These experiments specify global models that use eigenvectors from a spatial link matrix as exogenous variables. read more read less

Topics:

Multicollinearity (58%)58% related to the paper, Local regression (54%)54% related to the paper, Regression analysis (54%)54% related to the paper
651 Citations
Journal Article DOI: 10.1007/S10109-011-0158-4
Dynamic spatial panels: models, methods, and inferences
J. Paul Elhorst1

Abstract:

This paper provides a survey of the existing literature on the specification and estimation of dynamic spatial panel data models, a collection of models for spatial panels extended to include one or more of the following variables and/or error terms: a dependent variable lagged in time, a dependent variable lagged in space, a... This paper provides a survey of the existing literature on the specification and estimation of dynamic spatial panel data models, a collection of models for spatial panels extended to include one or more of the following variables and/or error terms: a dependent variable lagged in time, a dependent variable lagged in space, a dependent variable lagged in both space and time, independent variables lagged in time, independent variables lagged in space, serial error autocorrelation, spatial error autocorrelation, spatial-specific and time-period-specific effects. The survey also examines the reasoning behind different model specifications and the purposes for which they can be used, which should be useful for practitioners. read more read less

Topics:

Variables (58%)58% related to the paper, Endogeneity (56%)56% related to the paper
440 Citations
Journal Article DOI: 10.1007/S10109-006-0030-0
Latent lifestyle preferences and household location decisions
Joan L. Walker1, Jieping Li1

Abstract:

Lifestyle, indicating preferences towards a particular way of living, is a key driver of the decision of where to live. We employ latent class choice models to represent this behavior, where the latent classes are the lifestyles and the choice model is the choice of residential location. Thus, we simultaneously estimate lifes... Lifestyle, indicating preferences towards a particular way of living, is a key driver of the decision of where to live. We employ latent class choice models to represent this behavior, where the latent classes are the lifestyles and the choice model is the choice of residential location. Thus, we simultaneously estimate lifestyle groups and how lifestyle impacts location decisions. Empirical results indicate three latent lifestyle segments: suburban dwellers, urban dwellers, and transit-riders. The suggested lifestyle segments have intriguing policy implications. Lifecycle characteristics are used to predict lifestyle preferences, although there remain significant aspects that cannot be explained by observable variables. read more read less
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314 Citations
open accessOpen access Journal Article DOI: 10.1007/S10109-005-0148-5
Spatial process and data models: Toward integration of agent-based models and GIS
Daniel G. Brown1, Rick Riolo1, Derek T. Robinson1, Michael North2, William Rand1

Abstract:

The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight ... The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological. We discuss approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrate the need and approaches with example agent-based models. read more read less

Topics:

Spatial analysis (53%)53% related to the paper, Data modeling (52%)52% related to the paper, Geographic information system (51%)51% related to the paper
View PDF
304 Citations
Journal Article DOI: 10.1007/S10109-012-0166-Z
Understanding intra-urban trip patterns from taxi trajectory data
Yu Liu, Chaogui Kang, Song Gao, Yu Xiao, Yuan Tian

Abstract:

Intra-urban human mobility is investigated by means of taxi trajectory data that are collected in Shanghai, China, where taxis play an important role in urban transportation. From the taxi trajectories, approximately 1.5 million trips of anonymous customers are extracted on seven consecutive days. The globally spatio-temporal... Intra-urban human mobility is investigated by means of taxi trajectory data that are collected in Shanghai, China, where taxis play an important role in urban transportation. From the taxi trajectories, approximately 1.5 million trips of anonymous customers are extracted on seven consecutive days. The globally spatio-temporal patterns of trips exhibit a significant daily regularity. Since each trip can be viewed as a displacement in the random walk model, the distributions of the distance and direction of the extracted trips are investigated in this research. The direction distribution shows an NEE–SWW-dominant direction, and the distance distribution can be well fitted by an exponentially truncated power law, with the scaling exponent β = 1.2 ± 0.15. The observed patterns are attributed to the geographical heterogeneity of the study area, which makes the spatial distribution of trajectory stops to be non-uniform. We thus construct a model that integrates both the geographical heterogeneity and distance decay effect, to interpret the observed patterns. Our Monte Carlo simulation results closely match to the observed patterns and thus validate the proposed model. According to the proposed model, in a single-core urban area, the geographical heterogeneity and distance decay effect improve each other when influencing human mobility patterns. Geographical heterogeneity leads to a faster observed decay, and the distance decay effect makes the spatial distribution of trips more concentrated. read more read less

Topics:

Distance decay (59%)59% related to the paper
298 Citations
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Frequently asked questions

1. Can I write Journal of Geographical Systems in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Geographical Systems guidelines and auto format it.

2. Do you follow the Journal of Geographical Systems guidelines?

Yes, the template is compliant with the Journal of Geographical Systems guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Geographical Systems?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Journal of Geographical Systems citation style.

4. Can I use the Journal of Geographical Systems templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Geographical Systems.

5. Can I use a manuscript in Journal of Geographical Systems that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Geographical Systems that you can download at the end.

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7. Where can I find the template for the Journal of Geographical Systems?

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8. Can I reformat my paper to fit the Journal of Geographical Systems's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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11. What is the output that I would get after using Journal of Geographical Systems?

After writing your paper autoformatting in Journal of Geographical Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Geographical Systems's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Geographical Systems?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Geographical Systems. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Geographical Systems?

The 5 most common citation types in order of usage for Journal of Geographical Systems are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Journal of Geographical Systems?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Geographical Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Geographical Systems in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Geographical Systems Endnote style according to Elsevier guidelines.

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