scholarly journals Relevance of the Cell Neighborhood Size in Landscape Metrics Evaluation and Free or Open Source Software Implementations

2019 ◽  
Vol 8 (12) ◽  
pp. 586
Author(s):  
Paolo Zatelli ◽  
Stefano Gobbi ◽  
Clara Tattoni ◽  
Maria Giulia Cantiani ◽  
Nicola La Porta ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Landscape Metrics ◽  
Shape Index ◽  
Edge Density ◽  
Patch Area ◽  
Aggregation Index ◽  
Use Values ◽  
Software Implementations ◽  
Patch Density

Landscape metrics constitute one of the main tools for the study of the changes of the landscape and of the ecological structure of a region. The most popular software for landscape metrics evaluation is FRAGSTATS, which is free to use but does not have free or open source software (FOSS). Therefore, FOSS implementations, such as QGIS’s LecoS plugin and GRASS’ r.li modules suite, were developed. While metrics are defined in the same way, the “cell neighborhood” parameter, specifying the configuration of the moving window used for the analysis, is managed differently: FRAGSTATS can use values of 4 or 8 (8 is default), LecoS uses 8 and r.li 4. Tests were performed to evaluate the landscape metrics variability depending on the “cell neighborhood” values: some metrics, such as “edge density” and “landscape shape index”, do not change, other, for example “patch number”, “patch density”, and “mean patch area”, vary up to 100% for real maps and 500% for maps built to highlight this variation. A review of the scientific literature was carried out to check how often the value of the “cell neighborhood” parameter is explicitly declared. A method based on the “aggregation index” is proposed to estimate the effect of the uncertainty on the “cell neighborhood” parameter on landscape metrics for different maps.

scholarly journals INVESTIGATION AND EVALUATION OF SPATIAL PATTERNS IN TABRIZ PARKS USING LANDSCAPE METRICS

2017 ◽  
Vol 10 (2) ◽  
pp. 263-269
Author(s):  
Ali Majnouni Toutakhane ◽  
Mojtaba Mofareh
Keyword(s):  
Spatial Distribution ◽  
Spatial Patterns ◽  
Landscape Metrics ◽  
Shape Index ◽  
Quantitative Information ◽  
Green Spaces ◽  
Quantitative Results ◽  
Patch Density ◽  
Distribution Composition ◽  
Nearest Neighborhood

Nowadays, the green spaces in cities and especially metropolises have adopted a variety of functions. In addition to improving the environmental conditions, they are suitable places for spending free times and mitigating nervous pressures of the machinery life based on their distribution and dispersion in the cities. In this research, in order to study the spatial distribution and composition of the parks and green spaces in Tabriz metropolis, the map of Parks prepared using the digital atlas of Tabriz parks and Arc Map and IDRISI softwares. Then, quantitative information of spatial patterns of Tabriz parks provided using Fragstats software and a selection of landscape metrics including: the area of class, patch density, percentage of landscape, average patch size, average patch area, largest patch index, landscape shape index, average Euclidean distance of the nearest neighborhood and average index of patch shape. Then the spatial distribution, composition, extent and continuity of the parks was evaluated. Overall, only 8.5 percent of the landscape is assigned to the parks, and they are studied in three classes of neighborhood, district and regional parks. Neighborhood parks and green spaces have a better spatial distribution pattern compared to the other classes and the studied metrics showed better results for this class. In contrast, the quantitative results of the metrics calculated for regional parks, showed the most unfavorable spatial status for this class of parks among the three classes studied in Tabriz city.

scholarly journals Investigation of The Relationships Between Image Spatial Resolution And Landscape Metrics

2021 ◽  
Author(s):  
Elif Sertel ◽  
Raziye Hale Topaloglu ◽  
Beril Varol ◽  
Asli Gul Aksu ◽  
Kubra Bahsi
Keyword(s):  
Spatial Resolution ◽  
Landscape Metrics ◽  
Satellite Images ◽  
Nearest Neighbor ◽  
Diversity Index ◽  
Spatial Arrangement ◽  
Shape Index ◽  
Current Status ◽  
Aggregation Index ◽  
The Impact

Abstract Land Use and Land Cover (LULC) maps derived from satellite images are a significant source of geo-information to better understand the current status of landscapes, to analyze the landscape changes, and to develop sustainable decisions for landscape and urban planning. Since the spectral and spatial resolution of satellite images directly impact the LULC classes to be identified and the accuracy of the classification, these will also affect the values of calculated landscape metrics. This research aims to propose the most appropriate functions and features to obtain highly accurate thematically extensive LULC classification results from multi-resolution satellite images and to investigate how the change in spatial resolution of satellite images would affect the landscape metrics values and landscape pattern analysis Sentinel-2, SPOT-7, Pleaides, and Worldview-4 images with respective 10 m, 1.5 m, 0.5 m, and 0.3 m spatial resolution were classified using Geographic Object-Based Image Analysis techniques to create multi-scale LULC maps with the overall classification accuracy values of 66.05%, 85.00%, 91.79%, and 95.71%, respectively. Patch Density, Total Area, Largest Patch Index, Shape Index, Euclidian Nearest Neighbor distance, Aggregation Index, and Shannon's Diversity Index metrics were found to be most appropriate metrics to analyze the impact of spatial resolution on landscape metrics calculations considering the ability of these metrics to capture the spatial details, spatial arrangement, spatial distribution and complexity of shapes of landscape and classes.Landscape metrics results obtained from different LULC maps were compared to analyze the effects of image spatial resolution on different landscape metrics.

scholarly journals Analysis of the Habitat Fragmentation of Ecosystems in Belize Using Landscape Metrics

2020 ◽  
Vol 12 (7) ◽  
pp. 3024
Author(s):  
Bryon Flowers ◽  
Kuo-Tsang Huang ◽  
Gerardo O. Aldana
Keyword(s):  
Habitat Fragmentation ◽  
Landscape Metrics ◽  
Shape Index ◽  
Edge Density ◽  
Multiple Comparison Test ◽  
Mean Shape ◽  
Natural Flora ◽  
Agricultural Use ◽  
Littoral Forests ◽  
Agricultural Areas

Landscape metrics have been of game changing importance in the analysis of ecosystems’ composition and landscape cohesion. With the increasing urban and agricultural expansion, the natural flora and fauna of many highly diverse areas have been degraded. Fragmentation of ecosystems and habitats have stressed the biodiversity of Belize. To understand the dynamics of this change, a study was conducted using three moderately separate years of ecosystem landscape data. The metrics used for the analysis were area-weighted mean shape index (AWMSI), mean shape index (MSI), edge density (ED), mean patch size (MPS), number of patches (NUMP), and class area (CA). These metrics were produced for the years 2001, 2011, and 2017. The classes of agricultural use, lowland savannas, mangroves and littoral forests, urban, and wetlands were the subjects for analysis. Using the GIS extension Patch Analyst, parametric runs were performed. From these results, a one-way ANOVA test of the NUMP, Tukey HSD test, and Scheffé Multiple Comparison test were performed. The results indicate that there has been significant habitat fragmentation, especially from the years 2001 to 2011. Agricultural areas increased by 19.37% in just 10 years, with the NUMP of some habitats increasing by 284%. The results also show fluctuation in ED and a decrease in overall MPS, all indicating high fragmentation. These changes have been mostly induced due to the expansion of agricultural activities and urbanization, especially in the northern parts of Belize. It is imperative that additional policies be implemented to deter the effects of habitat fragmentation upon the existing ecosystems of Belize and elsewhere.

Landscape metrics as indicators of river water quality at catchment scale

2007 ◽  
Vol 38 (2) ◽  
pp. 125-138 ◽  
Author(s):  
Evelyn Uuemaa ◽  
Jüri Roosaare ◽  
Ülo Mander
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Landscape Metrics ◽  
Urban Areas ◽  
Shape Index ◽  
Landscape Configuration ◽  
Edge Density ◽  
Total N ◽  
Mean Shape ◽  
Total P

We investigated the relationship between land use parameters and FRAGSTATS-based landscape metrics (Edge Density, Patch Density, Mean Shape Index, Mean Euclidean Nearest Neighbour Index, Contagion, Patch Richness Density and Shannon's Diversity Index) and nutrient/organic-matter-based water quality indicators (BOD7 and CODKMnO4 values, total-N and total-P concentrations in water) in 24 catchments with various land use patterns in Estonia, using the CORINE Land Cover Map (1:100 000). Multiple regression analysis showed that, for BOD7, total-N and total-P, the most important predictor was the proportion of urban areas, but landscape metrics also had a significant relationship with water quality. Mean Shape Index and Contagion were the most important predictors for CODKMnO4. The knowledge that land use and landscape configuration impact water quality can be used in establishing and implementing water management plans in Europe.

scholarly journals Effects of urban functional fragmentation on nitrogen dioxide (NO2) variation with anthropogenic-emission restriction in China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuan Meng ◽  
Man Sing Wong ◽  
Hanfa Xing ◽  
Rui Zhu ◽  
Kai Qin ◽  
...  
Keyword(s):  
Nitrogen Dioxide ◽  
Moving Average ◽  
Shape Index ◽  
Edge Density ◽  
Anthropogenic Emission ◽  
Negative Effects ◽  
Aggregation Index ◽  
Positive Effects ◽  
Novel Coronavirus ◽  
Emission Restriction

AbstractUrban functional fragmentation plays an important role in assessing Nitrogen Dioxide (NO2) emissions and variations. While the mediated impact of anthropogenic-emission restriction has not been comprehensively discussed, the lockdown response to the novel coronavirus disease 2019 (COVID-19) provides an unprecedented opportunity to meet this goal. This study proposes a new idea to explore the effects of urban functional fragmentation on NO2 variation with anthropogenic-emission restriction in China. First, NO2 variations are quantified by an Autoregressive Integrated Moving Average with external variables-Dynamic Time Warping (SARIMAX-DTW)-based model. Then, urban functional fragmentation indices including industrial/public Edge Density (ED) and Landscape Shape Index (LSI), urban functional Aggregation Index (AI) and Number of Patches (NP) are developed. Finally, the mediated impacts of anthropogenic-emission restriction are assessed by evaluating the fragmentation-NO2 variation association before and during the lockdown during COVID-19. The findings reveal negative effects of industrial ED, public LSI, urban functional AI and NP and positive effects of public ED and industrial LSI on NO2 variation based on the restricted anthropogenic emissions. By comparing the association analysis before and during lockdown, the mediated impact of anthropogenic-emission restriction is revealed to partially increase the effect of industrial ED, industrial LSI, public LSI, urban functional AI and NP and decrease the effect of public ED on NO2 variation. This study provides scientific findings for redesigning the urban environment in related to the urban functional configuration to mitigating the air pollution, ultimately developing sustainable societies.

scholarly journals Landscape Management through Change Processes Monitoring in Iran

2020 ◽  
Vol 12 (5) ◽  
pp. 1753
Author(s):  
Mohsen Zabihi ◽  
Hamidreza Moradi ◽  
Mehdi Gholamalifard ◽  
Abdulvahed Khaledi Darvishan ◽  
Christine Fürst
Keyword(s):  
Landscape Metrics ◽  
Agricultural Land ◽  
Shape Index ◽  
Edge Density ◽  
Change Processes ◽  
Residential Areas ◽  
The Caspian Sea ◽  
Change Analysis ◽  
Ecological Processes ◽  
Northern Iran

The presented research investigated and predicted landscape change processes (LCPs) in the Talar watershed, northern Iran. The Land Change Modeler was used for change analysis, transition potential modeling, and prediction of land use/land cover (LULC) map. The evaluation of projected LULC map was performed by comparing the real and predicted LULC maps for the reference year, 2014. Landscape metrics and change processes were investigated for the period 1989–2014 and for exploring the situation in 2030. Results illustrated that the increase in agricultural land and residential areas took place at the expense of forest and rangeland. The distance from forests was the most sensitive parameter for modeling the transition potentials. The modelling of the LULC change projected the number of patches, the landscape shape index, interspersion and juxtaposition index, and edge density, Euclidean nearest-neighbor distance, and area-weighted shape index will amount to 65.3, 7.63, 20.1, 8.77, −1.35, and 0.61% as compared to 2014, respectively. Our findings indicated that the type of change processes that occurred was not entirely the same in 1989–2000 and 2000–2014. In addition, change processes in the creation of dry farming, orchard, and residential classes, attrition of forest and rangeland categories, and dissection in irrigated farming are projected. The dynamics of landscape metrics and change processes combined in one analytical framework can facilitate understanding and detection of the relationship between ecological processes and landscape pattern. The finding of current research will provide a roadmap for improved LULC management and planning in the Talar watershed, southern coast of the Caspian Sea.

scholarly journals INVESTIGATION AND EVALUATION OF SPATIAL PATTERNS IN TABRIZ PARKS USING LANDSCAPE METRICS

2017 ◽  
Vol 10 (2) ◽  
pp. 263-269 ◽  
Author(s):  
Ali Majnouni Toutakhane ◽  
Mojtaba Mofareh
Keyword(s):  
Spatial Distribution ◽  
Spatial Patterns ◽  
Landscape Metrics ◽  
Shape Index ◽  
Quantitative Information ◽  
Green Spaces ◽  
Quantitative Results ◽  
Patch Density ◽  
Distribution Composition ◽  
Nearest Neighborhood

Nowadays, the green spaces in cities and especially metropolises have adopted a variety of functions. In addition to improving the environmental conditions, they are suitable places for spending free times and mitigating nervous pressures of the machinery life based on their distribution and dispersion in the cities. In this research, in order to study the spatial distribution and composition of the parks and green spaces in Tabriz metropolis, the map of Parks prepared using the digital atlas of Tabriz parks and Arc Map and IDRISI softwares. Then, quantitative information of spatial patterns of Tabriz parks provided using Fragstats software and a selection of landscape metrics including: the area of class, patch density, percentage of landscape, average patch size, average patch area, largest patch index, landscape shape index, average Euclidean distance of the nearest neighborhood and average index of patch shape. Then the spatial distribution, composition, extent and continuity of the parks was evaluated. Overall, only 8.5 percent of the landscape is assigned to the parks, and they are studied in three classes of neighborhood, district and regional parks. Neighborhood parks and green spaces have a better spatial distribution pattern compared to the other classes and the studied metrics showed better results for this class. In contrast, the quantitative results of the metrics calculated for regional parks, showed the most unfavorable spatial status for this class of parks among the three classes studied in Tabriz city.

The Arches heritage inventory and management system: a platform for the heritage field

2016 ◽  
Vol 6 (2) ◽  
pp. 213-224 ◽  
Author(s):  
David Myers ◽  
Alison Dalgity ◽  
Ioannis Avramides
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Management System ◽  
Design Methodology ◽  
Content Type ◽  
Digital Heritage ◽  
System A ◽  
Steady Growth ◽  
Software Implementations ◽  
Practical Implications

Purpose – The purpose of this paper is to describe the Arches heritage inventory and management system for the benefit of practitioners working with heritage inventories. Arches is a modern software platform purpose-built for the creation and management of inventories to support effective heritage place management. The system was developed as open source software jointly by the Getty Conservation Institute (GCI) and World Monuments Fund (WMF). Design/methodology/approach – The paper discusses the needs and challenges addressed by the GCI and WMF in developing Arches, explains the system’s design and functionality, reports on software releases and ongoing enhancements, describes current software implementations, and concludes by discussing the role and growth of the open source community and the Arches project’s aspirations. Findings – The needs and challenges in the heritage field that the GCI and WMF originally identified have been confirmed through interactions between the Arches project and a range of practitioners. The suitability of Arches to address these needs is demonstrated through steady growth of the open source community and an increasing number of implementations of the Arches platform. Practical implications – Arches provides a purpose-built system that is freely available and ready for use. It offers a system that requires a marginal investment by organizations compared to building digital inventories from scratch. The Arches project has created an international community of information technology and heritage practitioners to share experience, knowledge, and skills to address their common challenges in dealing with digital inventories. Originality/value – The paper offers heritage practitioners details on a new tool for overcoming their challenges in building and managing digital heritage inventories.

Sign in / Sign up

Export Citation Format

Share Document