basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the world 1 Special thanks to Bjørn Sandvik of thematicmapping.org for providing and maintaining this dataset. 2 GeoDjango basic apps was written by Dane Springmeyer, Josh Livni, and Christopher Schmidt. 744 ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: • .shp: Holds the vector data for the world borders

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: .shp: Holds the vector data for the world borders three decimal places. Geographic Models Defining a Geographic Model Now that you’ve examined your dataset using ogrinfo, create a GeoDjango model to represent this data: from django.contrib.gis.db import

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the page) 1 Special thanks to Bjørn Sandvik of thematicmapping.org for providing and maintaining this dataset. 2 GeoDjango basic apps was written by Dane Springmeyer, Josh Livni, and Christopher Schmidt. 774 ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: • .shp: Holds the vector data for the world borders

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the page) 1 Special thanks to Bjørn Sandvik of thematicmapping.org for providing and maintaining this dataset. 2 GeoDjango basic apps was written by Dane Springmeyer, Josh Livni, and Christopher Schmidt. 778 ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: • .shp: Holds the vector data for the world borders

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the messages', 1 Special thanks to Bjørn Sandvik of thematicmapping.org for providing and maintaining this dataset. 2 GeoDjango basic apps was written by Dane Springmeyer, Josh Livni, and Christopher Schmidt. 768 ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: • .shp: Holds the vector data for the world borders

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: .shp: Holds the vector data for the world borders three decimal places. Geographic Models Defining a Geographic Model Now that you’ve examined your dataset using ogrinfo, create a GeoDjango model to represent this data: from django.contrib.gis.db import

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: .shp: Holds the vector data for the world borders three decimal places. Geographic Models Defining a Geographic Model Now that you’ve examined your dataset using ogrinfo, create a GeoDjango model to represent this data: from django.contrib.gis.db import

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: .shp: Holds the vector data for the world borders three decimal places. Geographic Models Defining a Geographic Model Now that you’ve examined your dataset using ogrinfo, create a GeoDjango model to represent this data: from django.contrib.gis.db import

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the world 1 Special thanks to Bjørn Sandvik of thematicmapping.org for providing and maintaining this dataset. 2 GeoDjango basic apps was written by Dane Springmeyer, Josh Livni, and Christopher Schmidt. 6 ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: • .shp: Holds the vector data for the world borders

basis by modifying the MIGRATION_MODULES setting. Migrations will run the same way on the same dataset and produce consistent results, meaning that what you see in development and staging is, under the ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: .shp: Holds the vector data for the world borders three decimal places. Geographic Models Defining a Geographic Model Now that you’ve examined your dataset using ogrinfo, create a GeoDjango model to represent this data: from django.contrib.gis.db import