scholarly journals OPEN SOURCE APPROACH TO URBAN GROWTH SIMULATION

2016 ◽  
Vol XLI-B7 ◽  
pp. 953-959 ◽  
Author(s):  
A. Petrasova ◽  
V. Petras ◽  
D. Van Berkel ◽  
B. A. Harmon ◽  
H. Mitasova ◽  
...  
Keyword(s):  
Open Source ◽  
Urban Growth ◽  
Model Development ◽  
Modeling Framework ◽  
Regional Environment ◽  
Ongoing Research ◽  
Grass Gis ◽  
Gis Tools ◽  
Open Source Gis

Spatial patterns of land use change due to urbanization and its impact on the landscape are the subject of ongoing research. Urban growth scenario simulation is a powerful tool for exploring these impacts and empowering planners to make informed decisions. We present FUTURES (FUTure Urban – Regional Environment Simulation) – a patch-based, stochastic, multi-level land change modeling framework as a case showing how what was once a closed and inaccessible model benefited from integration with open source GIS.We will describe our motivation for releasing this project as open source and the advantages of integrating it with GRASS GIS, a free, libre and open source GIS and research platform for the geospatial domain. GRASS GIS provides efficient libraries for FUTURES model development as well as standard GIS tools and graphical user interface for model users. Releasing FUTURES as a GRASS GIS add-on simplifies the distribution of FUTURES across all main operating systems and ensures the maintainability of our project in the future. We will describe FUTURES integration into GRASS GIS and demonstrate its usage on a case study in Asheville, North Carolina. The developed dataset and tutorial for this case study enable researchers to experiment with the model, explore its potential or even modify the model for their applications.

scholarly journals OPEN SOURCE APPROACH TO URBAN GROWTH SIMULATION

2016 ◽  
Vol XLI-B7 ◽  
pp. 953-959
Author(s):  
A. Petrasova ◽  
V. Petras ◽  
D. Van Berkel ◽  
B. A. Harmon ◽  
H. Mitasova ◽  
...  
Keyword(s):  
Open Source ◽  
Urban Growth ◽  
Model Development ◽  
Modeling Framework ◽  
Regional Environment ◽  
Ongoing Research ◽  
Grass Gis ◽  
Gis Tools ◽  
Open Source Gis

Spatial patterns of land use change due to urbanization and its impact on the landscape are the subject of ongoing research. Urban growth scenario simulation is a powerful tool for exploring these impacts and empowering planners to make informed decisions. We present FUTURES (FUTure Urban – Regional Environment Simulation) – a patch-based, stochastic, multi-level land change modeling framework as a case showing how what was once a closed and inaccessible model benefited from integration with open source GIS.We will describe our motivation for releasing this project as open source and the advantages of integrating it with GRASS GIS, a free, libre and open source GIS and research platform for the geospatial domain. GRASS GIS provides efficient libraries for FUTURES model development as well as standard GIS tools and graphical user interface for model users. Releasing FUTURES as a GRASS GIS add-on simplifies the distribution of FUTURES across all main operating systems and ensures the maintainability of our project in the future. We will describe FUTURES integration into GRASS GIS and demonstrate its usage on a case study in Asheville, North Carolina. The developed dataset and tutorial for this case study enable researchers to experiment with the model, explore its potential or even modify the model for their applications.

scholarly journals AwaP-IC—An Open-Source GIS Tool for Measuring Walkable Access

Urban Science ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 48 ◽  
Author(s):  
Ivan Majic ◽  
Elek Pafka
Keyword(s):  
Open Source ◽  
Urban Form ◽  
Weighted Average ◽  
Walking Distance ◽  
Private Land ◽  
Public And Private ◽  
Morphological Studies ◽  
Cadastral Maps ◽  
Gis Tools ◽  
Open Source Gis

Within the broad field of walkability research, a key area of focus has been the relationship between urban form and capacities for walking. Measures of walkable access can be grouped into two key types: permeability measures that quantify the ease of movement through an urban fabric, and catchment measures, quantifying the potential to reach destinations within walking distance. Of numerous street network measures in use, it has been shown that many are poor proxies of permeability and catchment. Instead, two new measures have been proposed: the area-weighted average perimeter (AwaP) and interface catchment (IC), that, combined, better capture the capacities of urban morphologies to enable and attract pedestrian movement. In this paper, we present the QGIS tool AwaP-IC, developed to overcome the difficulty of computing these measures. Unlike GIS tools based on models that abstract streets to axial lines, by employing new algorithms and spatial computation techniques, AwaP-IC analyses actual urban morphologies, based on cadastral maps delineating public and private land. This can empower a new stream of urban morphological studies with the computational power of GIS. As an open-source tool, it can be further developed for use in urban mapping and to streamline the analysis of large datasets.

Open Source GIS Tools: Two Environmental Applications

2018 ◽  
pp. 102-123
Author(s):  
Lia Barbara Cunha Barata Duarte ◽  
Jose Alberto Alvares Pereira Goncalves ◽  
Ana Claudia Teodoro
Keyword(s):  
Open Source ◽  
Environmental Applications ◽  
Gis Tools ◽  
Open Source Gis

scholarly journals BUILDING A COMPLETE FREE AND OPEN SOURCE GIS INFRASTRUCTURE FOR HYDROLOGICAL COMPUTING AND DATA PUBLICATION USING GIS.LAB AND GISQUICK PLATFORMS

2017 ◽  
Vol XLII-4/W2 ◽  
pp. 101-105
Author(s):  
M. Landa ◽  
P. Kavka ◽  
L. Strouhal ◽  
J. Cepicky
Keyword(s):  
Open Source ◽  
Local Area Network ◽  
Local Area ◽  
Area Network ◽  
Software Projects ◽  
Seamless Integration ◽  
Data Publication ◽  
Web Mapping ◽  
Grass Gis ◽  
Open Source Gis

Building a complete free and open source GIS computing and data publication platform can be a relatively easy task. This paper describes an automated deployment of such platform using two open source software projects – GIS.lab and Gisquick. GIS.lab (<a href=" http: //web.gislab.io"target="_blank">http: //web.gislab.io</a>) is a project for rapid deployment of a complete, centrally managed and horizontally scalable GIS infrastructure in the local area network, data center or cloud. It provides a comprehensive set of free geospatial software seamlessly integrated into one, easy-to-use system. A platform for GIS computing (in our case demonstrated on hydrological data processing) requires core components as a geoprocessing server, map server, and a computation engine as eg. GRASS GIS, SAGA, or other similar GIS software. All these components can be rapidly, and automatically deployed by GIS.lab platform. In our demonstrated solution PyWPS is used for serving WPS processes built on the top of GRASS GIS computation platform. GIS.lab can be easily extended by other components running in Docker containers. This approach is shown on Gisquick seamless integration. Gisquick (<a href=" http://gisquick.org"target="_blank">http://gisquick.org</a>) is an open source platform for publishing geospatial data in the sense of rapid sharing of QGIS projects on the web. The platform consists of QGIS plugin, Django-based server application, QGIS server, and web/mobile clients. In this paper is shown how to easily deploy complete open source GIS infrastructure allowing all required operations as data preparation on desktop, data sharing, and geospatial computation as the service. It also includes data publication in the sense of OGC Web Services and importantly also as interactive web mapping applications.

scholarly journals GRASS GIS: A multi-purpose open source GIS

2012 ◽  
Vol 31 ◽  
pp. 124-130 ◽  
Author(s):  
Markus Neteler ◽  
M. Hamish Bowman ◽  
Martin Landa ◽  
Markus Metz
Keyword(s):  
Open Source ◽  
Grass Gis ◽  
Open Source Gis

scholarly journals Population-Based Simulation of Urban Growth: The Italian Case Study

2018 ◽  
Vol 10 (12) ◽  
pp. 4838 ◽  
Author(s):  
Claudia Cosentino ◽  
Federico Amato ◽  
Beniamino Murgante
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Anthropogenic Activities ◽  
Land Use Changes ◽  
Population Based ◽  
Negative Effects ◽  
Regional Environment ◽  
Italian Case ◽  
User Friendly

Land take is one of the most studied phenomena in land use science. The increased attention to the issue of urban growth from both scientists and decision makers is justified by the dramatic negative effects on land use caused by anthropogenic activities. Within this context, researchers have developed and explored several models to forecast land use changes, some of which establish excellent scenario-based predictions of urban growth. However, there is still a lack of operative and user-friendly tools to be integrated into standard urban planning procedures. This paper explores the features of the recently published model FUTure Urban-Regional Environment Simulation integrated into the GRASSGIS environment, which generates urban growth simulation based on a plethora of driving variables. Specifically, the model was applied to the case study of urbanization in the Italian national territory. Hence, the aim of this work is to analyze the importance of population dynamics within the process of urban growth. A simulation of urban growth up to the year 2035 was performed. Results show that, despite the importance given to demographic aspects when defining urban policies over the last several decades, additional factors need to be considered during planning processes to overcome the housing issues currently experienced in Italy.

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