Discovering Sericulture Clusters Through the Use of Local Indicators of Spatial Association (LISA)

Tuba Bayir

Makale detayları

Discovering Sericulture Clusters Through the Use of Local Indicators of Spatial Association (LISA)

Yazarlar:

Tuba Bayir

Yayıncı:

Mevlüt AKÇURA

Ana Başlıklar:

Bee and Silkworm Breeding and Improvement | Animal Science | Genetics and Biostatistics

Dergi:

Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1103-1113

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329461

pISSN:

2148-3647

Anahtar kelimeler:

Özet:

 The aim of this study is to analyze the spatial pattern of sericulture in Türkiye with spatial analysis approaches, taking into account the data of 81 provinces, by creating a database based on Geographic Information Systems GIS. This study employed data from the TURKSTAT, which included the amount of fresh cocoon produced and the silkworm egg boxes opened, between 2004-2022. In order to evaluate the relationship between the cocoon yield in each province and the cocoon yield in neighboring provinces, Morans I measurements were made for the relevant time periods, and each periods Morans I scatter plot was created. The Local Spatial Association Indicator LISA was used to assess the spatial structure of fresh cocoon yield. There was determined spatial clustering and a positive spatial association for cocoon yield, and all of the Morans I values were found to be more than 0. The LISA maps were demonstrated the distinct local clustering patterns in the cocoon yield. More local clusters were identified High-High or Low-Low compared to local spatial outliers High-Low or Low-High. High-High clusters were generally identified in the Marmara Region. Important implications have been obtained in terms of sustainability, such as how to take advantage of hotspot spillover effects and prioritize hotspot locations when allocating resources. As a result, spatial relations should be taken into account in the policies to be developed for sericulture and more activities should be carried out on sericulture.

 The aim of this study is to analyze the spatial pattern of sericulture in Türkiye with spatial analysis approaches, taking into account the data of 81 provinces, by creating a database based on Geographic Information Systems GIS. This study employed data from the TURKSTAT, which included the amount of fresh cocoon produced and the silkworm egg boxes opened, between 2004-2022. In order to evaluate the relationship between the cocoon yield in each province and the cocoon yield in neighboring provinces, Morans I measurements were made for the relevant time periods, and each periods Morans I scatter plot was created. The Local Spatial Association Indicator LISA was used to assess the spatial structure of fresh cocoon yield. There was determined spatial clustering and a positive spatial association for cocoon yield, and all of the Morans I values were found to be more than 0. The LISA maps were demonstrated the distinct local clustering patterns in the cocoon yield. More local clusters were identified High-High or Low-Low compared to local spatial outliers High-Low or Low-High. High-High clusters were generally identified in the Marmara Region. Important implications have been obtained in terms of sustainability, such as how to take advantage of hotspot spillover effects and prioritize hotspot locations when allocating resources. As a result, spatial relations should be taken into account in the policies to be developed for sericulture and more activities should be carried out on sericulture.

 The aim of this study is to analyze the spatial pattern of sericulture in Türkiye with spatial analysis approaches, taking into account the data of 81 provinces, by creating a database based on Geographic Information Systems GIS. This study employed data from the TURKSTAT, which included the amount of fresh cocoon produced and the silkworm egg boxes opened, between 2004-2022. In order to evaluate the relationship between the cocoon yield in each province and the cocoon yield in neighboring provinces, Morans I measurements were made for the relevant time periods, and each periods Morans I scatter plot was created. The Local Spatial Association Indicator LISA was used to assess the spatial structure of fresh cocoon yield. There was determined spatial clustering and a positive spatial association for cocoon yield, and all of the Morans I values were found to be more than 0. The LISA maps were demonstrated the distinct local clustering patterns in the cocoon yield. More local clusters were identified High-High or Low-Low compared to local spatial outliers High-Low or Low-High. High-High clusters were generally identified in the Marmara Region. Important implications have been obtained in terms of sustainability, such as how to take advantage of hotspot spillover effects and prioritize hotspot locations when allocating resources. As a result, spatial relations should be taken into account in the policies to be developed for sericulture and more activities should be carried out on sericulture.

 Bu çalışmanın amacı, Coğrafi Bilgi Sistemlerine CBS dayalı bir veri tabanı oluşturarak, Türkiyedeki ipek böcekçiliğinin mekânsal yapısını, 81 ilin verileri dikkate alınarak mekânsal analiz yaklaşımlarıyla analiz etmektir. Bu çalışmada 2004-2022 yılları arasında üretilen yaş koza miktarı ve açılan kutu sayısını içeren TÜİK verileri kullanılmıştır. Her ildeki koza verimi ile komşu illerdeki koza verimi arasındaki ilişkinin değerlendirilmesi amacıyla ilgili zaman dilimleri için Morans I ölçümleri yapılmış ve her döneme ait Morans I dağılım grafiği oluşturulmuştur. Yaş koza veriminin mekânsal yapısını değerlendirmek için Yerel Mekânsal İlişki Göstergesi LISA kullanılmıştır. Koza verimi için mekânsal kümelenme ve pozitif mekânsal ilişki belirlenmiş olup, Morans I değerlerinin tamamı 0dan büyük bulunmuştur. LISA haritaları koza verimindeki farklı yerel kümelenme modellerini göstermiştir. Yerel mekansal aykırı değerlere Yüksek-Düşük veya Düşük-Yüksek kıyasla daha fazla yerel küme Yüksek-Yüksek veya Düşük-Düşük belirlenmiştir. Yüksek-Yüksek kümeler genel olarak Marmara Bölgesinde tespit edilmiştir. Sıcak nokta yayılım etkilerinden nasıl yararlanılacağı ve kaynaklar tahsis edilirken sıcak nokta konumlarının nasıl önceliklendirileceği gibi sürdürülebilirlik açısından önemli çıkarımlar elde edilmiştir. Sonuç olarak ipekböcekçiliğine yönelik geliştirilecek politikalarda mekânsal ilişkiler dikkate alınmalı ve ipekböcekçiliği konusunda daha fazla faaliyet yürütülmelidir.

Makale detayları

Discovering Sericulture Clusters Through the Use of Local Indicators of Spatial Association (LISA)

Yazarlar:

Tuba Bayir

Yayıncı:

Mevlüt AKÇURA

Ana Başlıklar:

Bee and Silkworm Breeding and Improvement | Animal Science | Genetics and Biostatistics

Dergi:

Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1103-1113

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329461

pISSN:

2148-3647

Cocoon yield

LISA

Moran’s I

Silkworm

Spatial Analysis.Koza verimi

LISA

Moran’s I

İpek böceği

Mekânsal analiz.

Sayı

Makale detayları

Yazarlar: Tuba Bayir

Yayıncı: Mevlüt AKÇURA

Ana Başlıklar: Bee and Silkworm Breeding and Improvement | Animal Science | Genetics and Biostatistics

Dergi: Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1103-1113

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001329461

pISSN: 2148-3647

Sayı

Yazarlar:

Tuba Bayir

Yayıncı:

Mevlüt AKÇURA

Ana Başlıklar:

Bee and Silkworm Breeding and Improvement | Animal Science | Genetics and Biostatistics

Dergi:

Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1103-1113

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329461

pISSN:

2148-3647