Geoplanning Journal of Geomatics and Planning最新文献

{"title":"TIME TRAVEL ESTIMATIONS USING MAC ADDRESSES OF BUS PASSENGERS: A POINT TO PATH-QGIS ANALYSIS","authors":"A. Hidayat, S. Terabe, H. Yaginuma","doi":"10.14710/GEOPLANNING.5.2.259-268","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.2.259-268","url":null,"abstract":"Currently, the development of WiFi is proliferating, especially in the field of transportation and smart cities. At the same time, WiFi is a low-cost technology, which offers a longer survey time and is able to support the Big Data era. This paper describes our study, which first uses a WiFi scanner to capture media access control (MAC) address data of bus passengers’ WiFi devices and then identifies each MAC address travel time to confirm the bus passengers. The MAC address is a unique ID for each device used such as mobile phones, smartphones, laptops, tablets, and other WiFi-enabled equipment. The WiFi scanner was placed inside the bus to capture all the MAC addresses inside and around the bus. The survey was conducted for one day (eight hours). The paper describes the procedure of the time travel estimation for each MAC address using the “point to path” analysis in QGIS open source software. This procedure, using point to path-GIS, produced 70,000-80,000 raw data points cleaned into 100-130 new data points. The procedure determined how many passengers traveled and explained which bus passengers used based on travel time.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.2.259-268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41916254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Pattern of Rice Field Productivity based on Physical Characteristics of Landscape in Citarum Watershed, West Java","authors":"N. Purwono, Arif Aprianto","doi":"10.14710/GEOPLANNING.5.2.237-250","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.2.237-250","url":null,"abstract":"This research to analyse the pattern of rice field productivity that is identified through landscape perspective. Identification of productivity pattern has been done partially based on each typology of land components into several segment of the Citarum watershed, West Java Province, Indonesia. Spatial autocorrelation through GIS tool is used as the method in this research. By using moran’s I (index) measurement, degree of dependency of these variables are generated to find the spatial pattern. The result of this study is separated the value of productivity based on segments of watershed, the values of the average of productivity are upstream (6,39 ton/Ha), middle stream (6,52 ton/Ha), and downstream (7,17 ton/Ha), sequentially. The highest productivity is in the downstream area (9,83 ton/Ha) and the lowest is in the upstream area (4,55 ton/Ha). In accordance with physiographic typology showed the rice field in the middle stream has more variation than the upstream or teh downstream area. The highest of average rice field productivity is on alluvial plain. Overall, the rice field productivity on the hills is higher rather that other types of landform the stuctural formation is more dominant, in addition. The spatial pattern shows the distribution of rice field  productivity most likely to clustered based on the similarity of physiographic type. Statistically, it has p-value <0,01 and z-score >2,58 (239,26) correspond to Spatial Autocorrelation (Moron’s I). This positive value means a less than 1% likelihood that this clustered pattern could be result of random choice, which the rice field productivity value has similar pattern to others. Thus, it can be generated that the pattern of rice field productivity has a very close relation with the physical characteristics which associated of each typology of land components.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.2.237-250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46485172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"REMOTE SENSING AND GIS FOR LAND COVER CLASSIFICATION AND CHANGE DETECTION IN GAZIPUR SADAR, BANGLADESH DURING 1973-2017","authors":"A. Hassan, R. Islam, R. Mahjabin","doi":"10.14710/GEOPLANNING.5.2.215-228","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.2.215-228","url":null,"abstract":"This paper has been developed to capture the land coverage change in Gazipur Sadar Upazila with the help of remote sensing data of 44 years from 1973 to 2017. After acquiring the study area image of 1973, 1991, 2006 and 2017 supervised classification method has been used to get the accurate information from the satellite image and the whole outcome has been transformed into measurable unit (sq km) and graphs. The accuracy of land coverage was ranged from 85% to 89%. The outcome says that the acceleration of economic growth and pressure of huge population took a heavy toll on the vegetation coverage which decreased -199.7%. People are destroying vegetation coverage for building up settlements and infrastructure. In the year 2017, the map shows that the built-up area increased 312.9% for industry, settlement and agricultural purpose. Moreover agricultural land also drops down from 42% to 32%.  The rapid rate of decreasing vegetation coverage and small amount of existing vegetation coverage only 57 sq km (in 2017) is a red alert for the region. The Sal forest and other special flora species of that region is valuable resource for environment. This paper shed light on the fact that it is urgent to protect vegetation coverage so it will help the authority to make good policies and use other techniques to save vegetation coverage.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47177579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANALYZING LAND USE PATTERN CHANGES IN MUKIM PENGERANG, JOHOR, MALAYSIA","authors":"Noordini Che'Man, Anis Farhan binti Salihin","doi":"10.14710/GEOPLANNING.5.2.229-236","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.2.229-236","url":null,"abstract":"Urbanization and urban land-use transition have a competitive environment to ensure and provide good facilities for citizen benefit. The landscape patterns resulting from urbanization effect processes at local, regional, and global scales. Quantifying the spatiotemporal pattern of urbanization is important for understanding its ecological impacts and can provide basic information for appropriate decision-making. The growth of urbanization in Mukim Pengerang, Johor, has undergone rapid changes in agriculture, settlements, townships and various activities. The changes of land use take place in Mukim Pengerang due to the rapid economic development, especially in industrializations which are Refinery and Petrochemical Integrated Development (RAPID) project and Pengerang Integrated Petroleum Complex (PIPC). The industrialization boosts the growth in land property and commercial which progressing in rapid development since the year 2012, in resulting whether it can give good, bad or both impact to the human and surrounding. Therefore, the main aim of this paper is to quantify the changes in landscape pattern or land use pattern between the year 2008 and 2017 occurred in Mukim Pengerang. In monitoring the spatial pattern changes, and the changes of landscape structure, the metrics landscape were analyzed with determination of the Shanon Diversity Index (SHDI), the number of patches (NP), Edge Density (ED) and Total Edge (TE) in the period of 8 years. The results show that the changes occurred with the three types of land use showed significant changes in the types of land use which are forest, agricultural and built-up area. The result of SHDI analysis shows the increment value between the year 2008 and 2017. This situation illustrates that the higher value of SHDI for an area, resulting in the higher level of land use. This is because the growing pattern of land use is reflected by a large number of patches due to the diversification of land use activities in the area. As a result, from the metrics statistics test verifies there was a significant change in land use that took place within 8 years.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.2.229-236","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42554849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SPATIAL PATTERN OF RICE FIELD PRODUCTIVITY BASED ON PHYSICAL CHARACTERISTICS OF LANDSCAPE IN CITARUM WATERSHED, WEST JAVA, INDONESIA","authors":"N. Purwono, Arif Aprianto","doi":"10.14710/geoplanning.5.2.237-252","DOIUrl":"https://doi.org/10.14710/geoplanning.5.2.237-252","url":null,"abstract":"This research analyse the pattern of rice field productivity. It was identified from the characteristics of the land component based on physiographic condition through landscape perspective. Identification of productivity pattern has been done partially based on each typology of land components into several segment of the Citarum watershed, West Java Province, Indonesia. Spatial autocorrelation through GIS tool was used as the method in this research. By using moran’s I (index) measurement, degree of dependency of these variables are generated to find the spatial pattern. The result of this study is separated the value of productivity based on segments of watershed, the values of the average of productivity are upstream (6.39 ton/Ha), middle stream (6.52 ton/Ha), and downstream (7.17 ton/Ha), sequentially. The highest productivity is in the downstream area (9.83 ton/Ha) and the lowest is in the upstream area (4.55 ton/Ha). In accordance with physiographic typology showed the rice field in the middle stream has more variation than the upstream or teh downstream area. The highest of average rice field productivity is on alluvial plain. Overall, the rice field productivity on the hills is higher rather that other types of landform the stuctural formation is more dominant, in addition. The spatial pattern shows the distribution of rice field  productivity most likely to clustered based on the similarity of physiographic type. Statistically, it has p-value <0.01 and z-score >2.58 (239.26) correspond to Spatial Autocorrelation (Moron’s I). This positive value means a less than 1% likelihood that this clustered pattern could be result of random choice, which the rice field productivity value has similar pattern to others. Thus, it can be generated that the pattern of rice field productivity has a very close relation with the physical characteristics which associated of each typology of land components.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/geoplanning.5.2.237-252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48969214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TOTAL SUSPENDED SOLID DISTRIBUTION ANALYSIS USING SPOT-6 DATA IN SEGARA ANAKAN, CILACAP","authors":"Aisya Jaya Dhannahisvara, Hartono Harjo, P. Wicaksono, Ferman Setia Nugroho","doi":"10.14710/GEOPLANNING.5.2.177-188","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.2.177-188","url":null,"abstract":"Spatial distribution and concentration of Total Suspended Solid (TSS) is one of the coastal parameters which are required to be examined in order to understand the quality of the water. Rapid development of remote sensing technology has resulted in the emergence of various methods to estimate TSS concentration. SPOT-6 data has spatial, spectral, and temporal characteristics that can be used to estimate TSS concentration. The purposes of this research are (1) to determine the best method for estimating TSS concentration, (2) to map TSS distribution, and (3) to determine the correlation between TSS concentration and chlorophyll-a concentration using SPOT-6 data in Segara Anakan. The estimation of TSS concentration in this research was performed using empirical model built from SPOT-6 and TSS field data. Bands used in this research are single band data (blue, green, red, and near infrared) and transformed bands such as band ratio (12 combinations), Normalized Difference Suspended Solid Index (NDSSI), and Suspended Solid Concentration Index (SSC). The result shows that blue, green, red, and near infrared bands and SSC index significantly correlated to TSS. Afterwards, regression analysis was performed to determine the function that can be used to predict TSS concentration using SPOT-6 data. Regression function used are linear and non-linear (exponential, logarithmic, 2nd order polynomial, and power). The best model was chosen based on the accuracy assessment using Standard Error of Estimate (SE). The selected model was used to calculate total TSS concentration and was correlated with chlorophyll-a field data. The result of accuracy test shows that the model from blue band has an accuracy of 70.68 %, green band 70.68 %, red band 75.73 %, near infrared band 65.58 %, and SSC 73.67 %. The accuracy test shows that red band produced the best prediction model for mapping TSS concentration distribution. The total TSS concentration, which was calculated using red band empirical model, is estimated to be 6.13 t. According to the correlation test, TSS concentration in Segara Anakan has no significant correlation with chlorophyll-a concentration, with a coefficient correlation value of -0.265.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.2.177-188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42189943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APPLICATION OF UAV WITH FISH-EYE LENSES CAMERA FOR 3D SURFACE MODEL RECONSTRUCTION","authors":"N. Purwono, A. Syetiawan","doi":"10.14710/GEOPLANNING.5.1.115-130","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.115-130","url":null,"abstract":"Application of Unmanned Aerial Vehicles (UAV) for images acquisiton has been widely applied in survey and mapping. One of non-metric camera as the sensor that can be mounted on the UAV is fish-eye lenses. Fish-eye lenses camera provides images with wide range coverage. However these images are distorted and make them more difficult to use for mapping or 3D modelling. This research is aimed to make a 3D surface model by images reconstruction and to estimate the geolocation accuracy of the model generated by UAV images processing. As the approach of the method, combines the automation of computer vision technique with the photogrammetric grade accuracy. The complete photogrammetric workflow implemented in Pix4D Mapper. Meanwhile, UAV platform used is DJI Phantom 2 Vision+. Sample location in this research is an area of Geospatial Laboratorium in Parangtritis, Yogyakarta. The covered area in this research is 3.934 Ha. From the results of 186 images obtained 2.47 cm value of average Ground Sampling Distance (GSD). Moreover the numbers of 3D points for Bundle Block Images Adjustment are 243,373 points with 0.4348 value of Mean Reprojection Error (pixels). The results of 3D Densified Points are 6,207,780 and 101.04 points of average density per-m3. Generally, geolocation acuracy of the model produced by using this method is between 2.47 - 4.94 cm. Thus, it can be concluded that UAV with fish-eye lenses camera can be used to reconstruct 3D surface model. However, images correction and calibration should be required to produce an accurate 3D model .","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"115-130"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.115-130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45262488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"INSIGHT ANALYSIS ON DYKE PROTECTION AGAINST LAND SUBSIDENCE AND THE SEA LEVEL RISE AROUND NORTHERN COAST OF JAVA (PANTURA) INDONESIA","authors":"H. Andreas, H. Abidin, D. Sarsito, D. Pradipta","doi":"10.14710/geoplanning.5.1.101-114","DOIUrl":"https://doi.org/10.14710/geoplanning.5.1.101-114","url":null,"abstract":"Land subsidence and the sea level rise is newly well known phenomenon around northern coast of Java Indonesia (PANTURA). The occurrence of land subsidence at least recognize at the first of the city or urban area development, while the sea level rise was recognize from several last decades corresponds to the global warming. Following the both phenomena, tidal inundation (in Javanese they call it “Rob”) is now becoming another newly well known phenomenon along PANTURA. In the recent years the tidal inundation comes not only at a high tide but even at the regular tide in some area. Sea level rise and the land subsidence are considered as the causes deriving the occurrence of tidal inundation. Dykes have been built against tidal inundation around PANTURA (e.g. in Jakarta, Blanakan, Pekalongan, Semarang, and Demak). Nevertheless, since the land subsidence and the sea level rise are believed to be continuing through times, insight analysis on these dykes “protector” is necessary. How long the dyke would effectively protect the land area would be highlight in this paper.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"101-114"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/geoplanning.5.1.101-114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44576699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MONITORING AND PREDICTING LAND USE-LAND COVER (LULC) CHANGES WITHIN AND AROUND KRAU WILDLIFE RESERVE (KWR) PROTECTED AREA IN MALAYSIA USING MULTI-TEMPORAL LANDSAT DATA","authors":"J. Gambo, H. Shafri, N. S. N. Shaharum, F. A. Z. Abidin, Mohd Faid Abdul Rahman","doi":"10.14710/GEOPLANNING.5.1.17-34","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.17-34","url":null,"abstract":"Natural and anthropogenic activities surrounding a Protected Area (PA) may cause its natural area to change in terms of Land Use-Land Cover (LULC). Thus, there is need of environmental change monitoring within and around PA because of its significant values to ecosystem at conservation scales. Effects and influences of local community within and around PA turn into the major problems for natural resource and conservations management as well as environmental impact assessment. Ascertaining the complex interface in relations to changes and its driving factors over period of time within and around PA is significant in order to predict future LULC changes, build alternative scenarios and serve as tools for decision making.  The main objective of this work was to evaluate temporal change detection and prediction of LULC as well as the trends of changes from 1989 to 2016 within and around Krau Wildlife Reserve (KWR).  The cloud issues were mitigated by producing cloud free image and object-based image analysis (OBIA) was adopted after a comparison with pixel-based analysis for overall accuracy and kappa statistics. The comparison of classified maps had produced a satisfactory results of overall accuracies of 91%, 86% and 90% for 1989, 2004 and 2016 respectively. The natural/dense forest between periods of 1989-2016 was decreased whereas built-up and agricultural/sparse forest were increased. The simulation model of Land Change Modeler (LCM) was utilized with digital elevation model (DEM) and past LULC maps to project future LULC pattern using Markov chain. The predicted map trend showed an increase of dense forest converted to agricultural/sparse forest in the north-western, and urban/built-up in east-southern part of KWR. The study is important for the conservation of habitat species and monitoring the current status of the KWR","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"17-34"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.17-34","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49101537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STUDY OF POTENTIAL MELAYU VILLAGE AS A HERITAGE AREA IN SEMARANG","authors":"Nuzulia Anggita, N. Yuliastuti","doi":"10.14710/GEOPLANNING.5.1.43-52","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.43-52","url":null,"abstract":"The urban village is a settlement that was established in the early period of the formation city and is the embryo of Semarang. Melayu Village is a heritage area where the existing heritage assets is inseparable from the history of the past. The enviromental of Melayu Village is quality conditions suffered environmental degradation because the threat of catastrophic tidal flood, the level of residential density is high, and there are several old buildings that were damaged. Assets contained in this region shows the evolution of human life and settlements from time to time that are still functioning properly. The purpose of this study to assess the potential in Melayu Village as a heritage area. This study uses descriptive quantitative and spatial analysis. The results of this study indicate that RW IV and RW VII are potentially as a heritage district with a score of 2.4 that characterized by a socio-cultural conditions that their religious activities in the form of cultural activities. This is also supported by the discovery of artifacts buildings in RW VII that Layur Tower Mosque and Shrine Kam Hok Bio who survived and functioned until today. Based on the potential of Melayu Village already should be protected as a heritage area.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"43-52"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.43-52","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44403668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}