Physical stores are transforming into showrooms that offer digital experiences, allowing customers to try on clothes virtually before having them shipped. 4. Supply Chain Agility and Resilience
Customer acquisition costs (CAC) continue to rise across digital platforms. The conclusion of this episode underscores that traffic generation is no longer enough; retention is where profitability lives.
While specific plot points remain consistent, the release is part of an iterative update cycle for the series:
A: As a Ren’Py game, Fashion Business runs on most Windows, Mac, and Linux systems. However, due to the large number of assets and animations, a modern processor and sufficient RAM (at least 4GB) are recommended for smooth performance.
Reduce carbon footprints by manufacturing closer to the primary consumer market. Waste Reduction
While earlier versions or partial summaries may be found on platforms like
The most sobering conclusion of v2 is what the host calls the
Episode 5, aptly subtitled represents the final narrative arc for the majority of Monica’s storylines. The developer made the strategic decision to split the finale into its own episode due to the sheer size of the game distribution, ensuring smoother updates for players downloading the full package.
Physical stores are transforming into showrooms that offer digital experiences, allowing customers to try on clothes virtually before having them shipped. 4. Supply Chain Agility and Resilience
Customer acquisition costs (CAC) continue to rise across digital platforms. The conclusion of this episode underscores that traffic generation is no longer enough; retention is where profitability lives.
While specific plot points remain consistent, the release is part of an iterative update cycle for the series:
A: As a Ren’Py game, Fashion Business runs on most Windows, Mac, and Linux systems. However, due to the large number of assets and animations, a modern processor and sufficient RAM (at least 4GB) are recommended for smooth performance.
Reduce carbon footprints by manufacturing closer to the primary consumer market. Waste Reduction
While earlier versions or partial summaries may be found on platforms like
The most sobering conclusion of v2 is what the host calls the
Episode 5, aptly subtitled represents the final narrative arc for the majority of Monica’s storylines. The developer made the strategic decision to split the finale into its own episode due to the sheer size of the game distribution, ensuring smoother updates for players downloading the full package.
Data Dictionary: USDA National Agricultural Statistics Service, Cropland Data Layer
Source: USDA National Agricultural Statistics Service
The following is a cross reference list of the categorization codes and land covers.
Note that not all land cover categories listed below will appear in an individual state.
Raster
Attribute Domain Values and Definitions: NO DATA, BACKGROUND 0
Categorization Code Land Cover
"0" Background
Raster
Attribute Domain Values and Definitions: CROPS 1-60
Categorization Code Land Cover
"1" Corn
"2" Cotton
"3" Rice
"4" Sorghum
"5" Soybeans
"6" Sunflower
"10" Peanuts
"11" Tobacco
"12" Sweet Corn
"13" Pop or Orn Corn
"14" Mint
"21" Barley
"22" Durum Wheat
"23" Spring Wheat
"24" Winter Wheat
"25" Other Small Grains
"26" Dbl Crop WinWht/Soybeans
"27" Rye
"28" Oats
"29" Millet
"30" Speltz
"31" Canola
"32" Flaxseed
"33" Safflower
"34" Rape Seed
"35" Mustard
"36" Alfalfa
"37" Other Hay/Non Alfalfa
"38" Camelina
"39" Buckwheat
"41" Sugarbeets
"42" Dry Beans
"43" Potatoes
"44" Other Crops
"45" Sugarcane
"46" Sweet Potatoes
"47" Misc Vegs & Fruits
"48" Watermelons
"49" Onions
"50" Cucumbers
"51" Chick Peas
"52" Lentils
"53" Peas
"54" Tomatoes
"55" Caneberries
"56" Hops
"57" Herbs
"58" Clover/Wildflowers
"59" Sod/Grass Seed
"60" Switchgrass
Raster
Attribute Domain Values and Definitions: NON-CROP 61-65
Categorization Code Land Cover
"61" Fallow/Idle Cropland
"62" Pasture/Grass
"63" Forest
"64" Shrubland
"65" Barren
Raster
Attribute Domain Values and Definitions: CROPS 66-80
Categorization Code Land Cover
"66" Cherries
"67" Peaches
"68" Apples
"69" Grapes
"70" Christmas Trees
"71" Other Tree Crops
"72" Citrus
"74" Pecans
"75" Almonds
"76" Walnuts
"77" Pears
Raster
Attribute Domain Values and Definitions: OTHER 81-109
Categorization Code Land Cover
"81" Clouds/No Data
"82" Developed
"83" Water
"87" Wetlands
"88" Nonag/Undefined
"92" Aquaculture
Raster
Attribute Domain Values and Definitions: NLCD-DERIVED CLASSES 110-195
Categorization Code Land Cover
"111" Open Water
"112" Perennial Ice/Snow
"121" Developed/Open Space
"122" Developed/Low Intensity
"123" Developed/Med Intensity
"124" Developed/High Intensity
"131" Barren
"141" Deciduous Forest
"142" Evergreen Forest
"143" Mixed Forest
"152" Shrubland
"176" Grassland/Pasture
"190" Woody Wetlands
"195" Herbaceous Wetlands
Raster
Attribute Domain Values and Definitions: CROPS 195-255
Categorization Code Land Cover
"204" Pistachios
"205" Triticale
"206" Carrots
"207" Asparagus
"208" Garlic
"209" Cantaloupes
"210" Prunes
"211" Olives
"212" Oranges
"213" Honeydew Melons
"214" Broccoli
"215" Avocados
"216" Peppers
"217" Pomegranates
"218" Nectarines
"219" Greens
"220" Plums
"221" Strawberries
"222" Squash
"223" Apricots
"224" Vetch
"225" Dbl Crop WinWht/Corn
"226" Dbl Crop Oats/Corn
"227" Lettuce
"228" Dbl Crop Triticale/Corn
"229" Pumpkins
"230" Dbl Crop Lettuce/Durum Wht
"231" Dbl Crop Lettuce/Cantaloupe
"232" Dbl Crop Lettuce/Cotton
"233" Dbl Crop Lettuce/Barley
"234" Dbl Crop Durum Wht/Sorghum
"235" Dbl Crop Barley/Sorghum
"236" Dbl Crop WinWht/Sorghum
"237" Dbl Crop Barley/Corn
"238" Dbl Crop WinWht/Cotton
"239" Dbl Crop Soybeans/Cotton
"240" Dbl Crop Soybeans/Oats
"241" Dbl Crop Corn/Soybeans
"242" Blueberries
"243" Cabbage
"244" Cauliflower
"245" Celery
"246" Radishes
"247" Turnips
"248" Eggplants
"249" Gourds
"250" Cranberries
"254" Dbl Crop Barley/Soybeans